Nonlinear Orbital Dynamic Equations and State- Dependent Riccati Equation Control of Formation Flying Satellites 1

Size: px
Start display at page:

Download "Nonlinear Orbital Dynamic Equations and State- Dependent Riccati Equation Control of Formation Flying Satellites 1"

Transcription

1 Noninear Orbita Dynamic Equations and State- Dependent Riccati Equation Contro o Formation Fying Sateites 1 Chang-Hee Won and Hyo-Sung Ahn Department o Eectrica Engineering University o North Dakota 15 Juy 4 Abstract Precise maneuvers o ormation ying sateites require a genera orbita dynamic equation and an eective noninear contro method. In this paper, noninear orbita dynamics o reative motion equations are derived or a constant distance separation ormation ying probem. This genera orbita dynamic equation aows eiptic, noncopanar, and arge separation distances between spacecrats as we as traditiona circuar, copanar, and sma separation distance cases. Furthermore, or the in-pane ormation ying scenario with arge constant ange o separation between sateites, we derived the change in position and veocity equations. A noninear contro method caed the state-dependent Riccati equation contro method is utiized to sove the ormation ying contro probem. This nove contro method or a noninear system aows the intuitive design tradeo between the contro action and the state error simiar to the 1 Chang-Hee Won and Hyo-Sung Ahn, Noninear Orbita Dynamic Equations and State- Dependent Riccati Equation Contro o Formation Fying Sateites, Journa o the Astronautica Sciences, Vo. 51, No. 4, October-December 3. 1

2 cassica inear-quadratic-reguator contro method. Two numerica simuations demonstrate the eectiveness o the new state-dependent Riccati equation contro method with the newy deveoped reative motion equations.

3 Introduction Mutipe spacecrat ormation ying is one o the key technoogies o current and uture space missions. The Nationa Aeronautica and Space Administration's Earth Observing-1 sateite demonstrated ormation ying technoogy by ying in a ormation one minute behind Landsat-7 in November, and Jet Propusion Laboratory is panning the Deep Space-3 mission to ormation y three separate spacecrats to take space optima intererometer measurements. The objective o ormation ying is to autonomousy contro two or more sateites reative to another sateite with minimum ground contro station invovement. There are two main chaenges in ormation ying technoogy. First, there has to be genera noninear reative motion equation and second, there has to be an appropriate noninear contro method to design an optima controer. So, in this paper, we derive a noninear orbita dynamic equation and we propose to use the State-Dependent Riccati Equation (SDRE) contro method to sove the ormation ying probem. On the orbita dynamic side o ormation ying, various studies have been reported. In 1985, Vassar and Sherwood studied ormation keeping or a pair o sateite in a circuar orbit in spite o disturbances such as aerodynamic drag and soar radiation pressure [1]. Kapia et a. deveoped and used inear Cohessey-Witshire (CW) equation or circuar orbit ormation ying in their paper []. They utiized inear puse contro method in their eampe. In, Yedavai and Sparks studied sateite ormation ying contro design based on hybrid contro system anaysis [3]. They derived a noninear version o CW 3

4 equation and inearized or sma reation disturbance between two sateites. But they assumed circuar orbits. Noninear CW equations or circuar orbits have been etensivey investigated by Ariend, Schaub, and Gim [4, 5]. Furthermore, Inahan, et a. derived a noninear reative motion equation and soved the probem by inearizing with sma curvature assumption [6]. The eect o noninearity and eccentricity are studied by Vaddi et a. [7]. Another popuar mode or ormation ying orbita dynamics is eader oowing mode o Wang and Hadaegh [8]. There, the eader sateite s rame becomes the ormation reerence rame. Then the states are measured and controed with respect to that reerence rame. Mesbahi and Hadaegh used eader oowing ormuations, graphs, inear matri inequaities, and switching theories [9]. However, the system is inear and with stateeedback contro. Our reative motion equations are noninear equations that mode eiptic, noncopanar orbita dynamics o ormation ying sateites. Various contro methods incuding bang-bang, inear pused contro, inear quadratic reguator (LQR), and hybrid contro have been studied or ormation ying [1,, 3]. However, a these methods were based on a inear contro theory with a inear system. In this paper, we utiize a noninear contro method known as the SDRE contro method. There are many noninear contro methods avaiabe in the iterature incuding eedback inearization, gain scheduing, and siding mode contro, however, they determine the contro aw by some anaysis method. Thus, it is diicut or a contro designer to intuitivey design a controer that is appropriate or the ormation ying. One nove noninear contro method caed State-Dependent Riccati Equation (SDRE) contro has the intuitive design advantages simiar to the cassica inear-quadratic-reguator (LQR) contro 4

5 method. The SDRE method is anaogous to cassica LQR method and the abiity to tradeo between contro eort and state errors is aso simiar. However, this method does not guarantee goba asymptotic stabiity and may give a suboptima controer. The controabiity and stabiity issues in SDRE contro are addressed by Hammett et a [11]. In 1998 Mracek and Coutier pubished a contro design or the noninear benchmark probem using the SDRE method [1], where they showed the eectiveness o SDRE method. We wi appy this nove SDRE method to ormation ying sateite appications and demonstrate its eectiveness through simuations. In the net section, we deveoped more genera ormation ying orbita dynamics or noncopanar eiptic orbits that is vaid or arge separation distance between ormation ying sateites. Then as a specia copanar case, we derive the equations necessary or constant ange separation ormation ying in the same orbita pane. Then we describe the SDRE method in more detai incuding the stabiity properties. Finay, we present simuation resuts o mutipe spacecrat ying in a ormation using SDRE and newy deveoped reative motion equations. Constant Separation Distance Orbita Dynamics Here we consider noncopanar and eiptic orbit geometry or constant separation distance ormation ying. Consider an eiptic orbit with the Earth center at the one o the oci as shown in Fig. 1. An orthogona coordinate rame, caed the s-rame, is attached to the eader spacecrat and moves with the î -ais which is radiay outward rom the center 5

6 o the earth. The ˆk -ais is out o the paper, and the ĵ -ais competes a right hand triad. The vector position o the oowing spacecrat is r r ρ = +. V Leader spacecrat ĵ ˆk î ρ Foower spacecrat r Mean motion o the eader (n) r True anomay o the eader ( ) ν Center o the Earth (Focus) Perigee Fig. 1. Eiptic Orbita Geometry. We wi assume that the inertia reerence rame, caed i-rame, is attached to the Earth center, and the eader spacecrat is in our eiptic orbit around the Earth with the μ mean motion n =, where 3 a 14 μ = m 3 /s and a is the semi-major ais o the orbit. The orbita dynamics o a spacecrat reative to the Earth is given as μ r + r = F, (1) 3 r where F represents the speciic eterna disturbance and/or speciic contro orces (orces per unit mass). I we et ρ = iˆ+ yj ˆ+ zkˆ, () 6

7 then the oower spacecrat dynamic is given as where μ ( ) r + ρ + r + ρ = F, (3) 3 r + ρ F denotes the speciic eterna disturbances and/or speciic contro orce (orce per unit mass). For an eiptic orbit, r r a(1 e ) /(1 + ecos ν ) = =. (4) The dynamic equation or the oower spacecrat with respect to the eader spacecrat can be written as ρ + μ ( r μ + ρ) r = F r + ρ 3 3 r F (5) Deine 3/ γ = [( r + ) + y + z ] (6) then 3 r ρ γ + =. Now we need to transer the acceeration ρ in the s-rame to the acceeration in the i- rame (inertia rame). The transormation is we known, or eampe see Wiese s book [14]. ρ = ρ + ω ρ + ω ρ + ω [ ω ρ] (7) i s s si s s si s s si s si s The second term on the right hand side is known as the Coriois acceeration and the ast term is known as centriuga acceeration. si ω is the anguar veocity o the eader sateite in the s-rame with respect to the i-rame, 7

8 si ω n(1 + ecos ν ) = 3/ [ (1 e ) T k ] T ν. This anguar veocity o the eader sateite varies with time. Consequenty, we have Aso we have Thereore we obtain si n(1+ ecos ν)( esin ν) T ω = ν 3/ [ νk ] (1 e ). T ρ = y, ρ = y, ρ = y. (8) z z z s s s νy νy ν ν y ν y ν = = + + ν y. (9) z z i ρ y ν ν ν y y ν ν Substitute Eq. (9) into Eq. (5), νy νy ν r r μ μ y ν ν ν y y = F F 3 γ, (1) r z z which simpiies to μ μ νy νy ν + ( r + ) γ r Fi μ y ν ν ν y y F = j γ. (11) Fk μ z+ z γ This is a genera noninear equation o spacecrat reative position dynamics. 8

9 F, F, and F are the resuting speciic disturbance or contro orce. We can rewrite Eq. i j k (11) in state-dependent coeicient orm. =, =, = y, = y, = z, = z, then we have Let or 1 μ 1 ν ν ν 1 γ 1 μ μr 1 Fi r γ 3 3 = μ + F j ν ν ν γ 5 5 Fk μ γ (1) A ( ) + BF ( ) + E ( ). (13) This equation is a genera noninear reative motion equation or ormation ying sateites. Note that Eq. (1) is not a unique equation. It is important to note that this noninear reative motion equation did not assume that r is much greater than the reative distances, y, and z. Aso this equation is vaid or eiptic and noncopanar orbits. However, to use SDRE method, we wi assume E( ), and in the simuations we wi check the vaidity o this assumption by epicity cacuating E( ). Furthermore, we can et target and target be the oower spacecrat s target position and speed in i -direction; y and y be the oower spacecrat s target position and target target speed in j -direction; and z and z be the oower spacecrat s target position and target target 9

10 speed in k -direction. The state errors are deined by 1 = 1 target, = target, 3 = 3 ytarget 4 4 targ notation,, = y et, 5 = 5 ztarget, and 6 = 6 z target. We wi use the [ ] =, (14) T target = target target ytarget y target ztarget z target, (15) d = A + A BF target +, and u = K. (16) dt Copanar Constant Ange Separation Orbita Dynamics The objective o ormation ying in this section is to achieve the constant ange between the eader and oower sateites in the same orbita pane. The reative position and reative veocity equations o the oower sateite with respect to the eader coordinate rame (s-rame) are derived. Fig. shows the ormation ying geometry with a constant separation ange, α, between the sateites. To keep this separation ange constant, the reative position and veocity are controed. 1

11 V V 1 î ĵ V 1 α θ Leader V β r ρ ν α V (, y ) r V y Foower ν V 1 θ V (, y ) 1 1 Perigee Fig.. Constant Ange Separation Formation Fying Geometry. In Fig., the distances rom the center o the Earth to sateites, r and r, are cacuated rom the true anomay. To keep the ange, α, constant, we contro the reative distance and veocities in the s-rame. The initia position coordinate, ( 1, y 1), o the oower sateite is the current position o the oower sateite with respect to the eader sateite s- rame. The target position coordinate, (, y ), o oower sateite is the target position o the oower sateite with respect to the moving eader sateite to keep the constant separation ange, α, in the same pane. Now, we derive the reative position reationship. The reative position o the oower sateite with respect to the eader sateite in s-rame is given as oows. ( ν) = ρ( ν) cos( β( ν)) iˆ, and y( ν) = ρ( ν) sin( β( ν)) ˆj (17) where, ρ( ν ) denotes the magnitude o the vector ρ( ν ), ρ( ν) r ( ν) r ( ν) r ( ν) r ( ν)cosα = +, 1 sinα βν ( ) = sin r ( ν) ρ ( υ ), (1 ) ( ) a r e ν = and 1 + ecosν (1 ) ( ) a r e ν =. (18) 1 + ecos( α ν ) 11

12 We derive the equation or the sateite s reative veocity in s-rame as s Δ V( ν ) = V ( ν) V ( ν ). (19) To ind the oower sateite s veocity vector in the s-rame, s V, we transorm the oower sateite s veocity vector to the s-rame. s V s V ( ν ) cosα sinα V ( ν ) ( ν ) = s = Vy ( ν ) sinα cosα Vy ( ν ) () where V ( ν) V ( ) T y ν is the veocity vector o oower sateite with respect to the s s eader sateite s s-rame. Fig. 3 shows this reationship graphicay. From Fig. 3, we know that V ( ν ) = V ( ν)cosθ and V ( ν ) = V ( ν)sinθ where V ( ν ) is the magnitude o the y s sateite s veocity vector to the s-rame, V ( ν) = V ( ν) = V ( ν) + Vy ( ν). Then substituting these equations to Eq. (), we obtain s V s V ( ν ) V ( ν )cos( α θ) ( ν ) = s = Vy ( ν ). (1) V ( ν )sin( α θ) V 1 î s V y α θ s V V 1 ĵ Fig. 3. Transormation o the Foower Sateite Veocity Vector to the s-frame. 1

13 1 Vy We can determine θ by θ = tan where V V μ μ ( ν ) = ( esin ν ), and V y ( ν ) = (1+ ecos ν ) a(1 e ) a(1 e ) () where ν = ν α. Net, we derive the equation or the eader sateite veocity vector, V ( ν ) = ( e sinν ) a μ e (1 ) V, iˆ μ, and V ( ) (1 cos ) ˆ y ν = + e ν j. (3) a(1 e ) So the reative veocity o oower sateite with respect to the eader sateite is s V( ν) ( V ( ν) V( ν) )ˆ Δ ( ν) = ( ν) ( ν) j. (4) s Δ = i, and V ( V V ) ˆ y y y These position and veocity vectors o Eq. (17) and Eq. (4) are controed to keep a constant separation ange between the sateites. I we assume that the true anomay, ν, varies in discrete steps, then using Eqs. (17), (1), and (4) the target states are deined as ( ν k+ 1) = ρν ( k+ 1) cos( βν ( k+ 1)), y( ν k+ 1) = ρν ( k+ 1) sin( βν ( k+ 1)), Δ V ( ν ) = V ( ν )cos( α θ ) V ( ν ) +1, k+ 1 k+ 1 k+ 1 k Δ V ( ν ) = V ( ν )sin( α θ ) V ( ν ) +1, (5) y k+ 1 k+ 1 k+ 1 y k and the initia states as 1 ( ν k) = ρν ( k) cos( βν ( k)), y1 ( ν k) = ρν ( k) sin( βν ( k)), Δ V1 ( ν k) = V1 ( νk)cos( α θk) V1( νk), and V1y ν k V1 νk α θk V1y νk Δ ( ) = ( )sin( ) ( ). (6) 13

14 The position and veocity change necessary to keep a constant separation ange are given as oows. Δ = ( ν ) 1( ν ), y y ν y1 Δ = ( ) ( ν ), Δ V =ΔV ΔV1, and Vy Vy V1 y Δ =Δ Δ. (7) Here we are inding the dierence between the net target position and veocity o the oower sateite and the current position and veocity o the oower sateite. We wi try to ind the optima controer that minimizes this error. Finay, the net state errors in Eq. (14) are epressed as oows ( i+ 1) = ( i) +Δ( i), (8) where = [ ] T and Δ= Δ ΔV Δy ΔVy Δz ΔVz. State-Dependent Riccati Equation Noninear Contro Theory The SDRE method started in 1996 by James Coutier and his coworkers [1]. The SDRE contro method reormuates a noninear dynamic equation into state-dependent coeicient structure and soves a SDRE as in cassic inear quadratic reguator optima contro. It is intuitivey simiar to the LQR method in terms o the tradeos between the contro eort and the errors. Aso, the SDRE method has good robustness properties as the LQR method. In this paper, to contro the noninear system represented by the noninear orbita dynamic reative motion equation, we utiize the SDRE method. The SDRE concepts wi be summarized in this section, and or more detaied description reer to Coutier et a [1]. Consider a genera noninear dynamic system. 14

15 = ( ) + g( ) u, and y = C( ) (9) where n m Ñ, u Ñ. We assume that () = and g ( ) or a. Remark: From Eq. (1) we note that or our probem () = is not generay satisied, however, assuming ρ is sma we can assume () =. The optimization probems is to ind the contro, u, that minimize the cost unction, 1 T T J = Q( ) + u R( ) u dt (3) subject to the noninear dierentia equation, (9), where ( ) k k Q C, R( ) C, Q ( ), R( ) > or a. The SDRE method obtains a suboptima soution o the above probem. First, put the noninear Eq. (9) to the state-dependent coeicient orm, = A ( ) + Bu ( ), (31) using direct parameterization, where ( ) = A( ) and g( ) = B( ). We note here that the choice o A ( ) is not unique, and this may ead to a suboptima controer. Aso this does not impy variations o the A ( ) matri as a unction o, but we are simpy putting ( ) into a orm that ooks ike a inear orm. Second, sove the SDRE state-dependent Riccati equation Q A P PA PBR B P T 1 T T ( ) + ( ) ( ) + ( ) ( ) ( ) ( ) ( ) ( ) ( ) = (3) to obtain P ( ). Third, obtain the noninear controer o the orm. 1 T u ( ) R ( B ) ( P ) ( ) = (33) We note that the Riccati matri, P ( ) depends on the choice o A ( ), and because A ( ) is not unique, we have mutipe suboptima soutions [1, 13]. 15

16 In addition Coutier proved that i A( ), B( ), Q( ), and R( ) are smooth, and the pair[ ( ), ( )] is pointwise stabiizabe, and the pair A B [ ( ), ( )] C A is detectabe in the inear sense or a, then the SDRE method produces a cosed oop soution which is ocay asymptoticay stabe [1,1]. We can check stabiizabiity and detectabiity by orming the controabiity and observabiity matrices and checking their rank. Orbita Mechanics Preiminaries Beore we present the simuation resuts, we review some o the orbita mechanics concepts that are necessary to do the simuations. A. Position o the Sateite as a Function o Time We wi ind the position o the spacecrat as a unction o time, r ( ) t. Assuming at t = the spacecrat is at perigee, we determine eccentric anomay, E, using the Keper s equation. M = E esin E = nt (34) where M is the mean anomay, n is the mean motion, t is time, and e is the eccentricity. In order to do this, we ind the initia eccentric anomay by E M (1 sin u) + usin M = 1+ sinm sinu, (35) where u = M + e. We aso have the oowing equations. F( E ) = E esine M, and i i i df( Ei ) = ecos Ei, de i 16

17 Then using Newton s method iterativey, we ind E (ina E is denoted by E ) by i E i+ 1 FE ( i ) = Ei, and we determine df / de i df( E) r () t = a = a(1 ecos E). (36) de B. Orbit Perturbation Modes The obateness (J), soar radiation pressure, and air drag orce are considered as the eterna disturbance. We wi use the oowing simpe modes. These disturbances are added to the contro orce because eterna disturbances. Obateness (J) F in Eq. (1) represents the speciic contro orce and The perturbing acceerations due to J may be given in the ijk -coordinate system as [15] oi μjr = 1 ( sin i) (1 cos u) 3 E 3 4 r (37) 3 μjr oj = ( sin i) (sin u) r, (38) E 4 3 μjr =, (39) r E [ sin icosisin u] ok 4 where argument o atitude is u = ν + ω (true anomay and argument o perigee), is equa to.1863, i is orbita incination, μ is gravitationa constant, R E is the equatoria radius, and r is the distance rom the center o the Earth to the eader sateite. J 17

18 Atmospheric Drag The aerodynamic orce per unit mass due to drag on a sateite is given by S ρ C V m d =.5 d, (4) where ρ is atmospheric density, C d is drag coeicient, S is sateite cross sectiona area, m is mass, and V is sateite s veocity [16]. For the eader sateite in eiptic orbit, the veocity is given as V = ν r. And the oower sateite veocity is cacuated by 4 6 V = ν r (41) where r is given in Eq. (4) and, 4, and 6 are given in Eq. (1). This drag orce wi aect the veocity in j direction ony. Soar Radiation Pressure [14], A simpe mode o soar radiation pressure (orce per unit mass) is given as oows s S r m 6 = (1 + ), (4) where r is a reection actor (the reection actor is assumed 1 or the worst case), S is sateite cross sectiona area eposed to the Sun in m, and m is sateite mass in kg. We wi assume the mode or summer sostice where the sun ange, θ, is 3.5 degrees. We wi aso assume that the sateite is at the perigee. The disturbance orces due to the soar radiation pressure on each ais o the s-rame are determined by using the inormation o orbit incination ange and true anomay ange as shown in Fig. 4. It is assumed that 18

19 initiay, the negative i -ais and the soar radiation incident direction ater projected on the ij -pane are the same. Then as the sateite moves the i -ais moves with the true anomay, ν, as shown in the top circe o Fig. 4. ĵ ĵ ν î ij î ˆk î s θ Fig. 4. Soar radiation Pressure Geometry. From Fig. 4, we determine the soar radiation pressure in ij-rame as, and the soar radiation pressure in each o the s-rame is given as = cos( θ ) (43) ij s = cos( ν ), = sin( ν), and = sin( θ ) (44) i ij j ij k s where s is the soar radiation pressure rom Eq. (37). Formation Fying Simuations In order to appy the newy deveoped ormation ying orbita dynamic equations and 19

20 SDRE noninear contro methods, we perorm three dierent computer simuations. The irst simuation is or sateites in Moynia orbit and 5 meters separation in a three ijk - directions. The second simuation is or a arge separation distance ormation ying with constant ange o separation equa to 1 degrees. A. Moynia Orbit Formation Fying In this simuation, two sateites are in Moynia orbit: semi-major ais o 3,978 km, eccentricity o.75, and incination o 63.4 degrees. Thus this is ormation ying in noncircuar and noncopanar orbit. Because we assume ony 5-m separation distance, μ r μr γ is very sma, in the order o 6 1 to 1 7, and the assumption E( ) is satisied in Eq. (1). Furthermore, we check or the controabiity o the system by check the rank o [ A ( ), B ( )]. Figure 8 shows the Moynia orbit with respect to the Earth.

21 1 9 Distance (km) Sateite Orbit 3 Earth True Anomay (deg) Fig. 8. Formation Fying Sateite Orbit with respect to the Earth. Initiay, both sateites wi begin at the same position ( =, y =, and z = ), and then they wi orm the ormation o 5 meters apart in a three directions o the s-rame (i.e, = 5, y = 5, z = 5 ). We assumed summer sostice with the sun ange o 86.5 degrees. We used soar radiation pressure, air drag and J perturbations. The simuation parameters are summarized in Tabe 1. The thrusters are assumed to be 1N thrusters in ijk directions. I the thrust orce required to keep the ormation is greater than 1N then ony 1N is appied in the required direction. 1

22 Tabe 1. Sateite Parameters or Formation Fying in Moynia Orbit. Leader Sateite Foower Sateite Mass 155 kg 41 kg Dimension m m 3 Air drag coeicient.. Soar reectivity coeicient (r).6.6 We chose the integration time step to be.5 second and simuation duration was 7 hours. We used the contro weighting matri, R diag[ 1 1 1] matri, Q diag[ ] =. =, and the state weighting i-direction (m) j-direction (m) k-direction (m) Time (Hours) Fig. 9. Separation Distances o Two Formation Fying Sateites.

23 Figure 9 shows the separation distances decreases graduay to 5 m in ijk - directions. We note that in the i -direction the sateite reaches the target position o 5 meters irst in about 3 hours, the k-direction second in about 4.5 hours, and the j-direction ast in about 6 hours. The required time to reach 5 meters is arge because we are imiting out contro orce to be 1N. Figure 1 shows the corresponding thrust puses. We note that maimum thrust eve o 1N was ired unti the sateite reaches the desired ormation. i-direction (s) j-direction (s) k-direction (s) Time (Hours) Fig. 1. Thrust Puses o the Moynia Orbit Foower Sateite. 3

24 B. Constant Ange Separation Formation Fying in the Same Pane In this simuation, two sateites are in ow earth sun synchronous orbit: atitude o 8km, eccentricity o.4, and incination o 98.6 degrees. These two sateites wi keep a constant separation ange o 1 degrees with each other. We assumed summer sostice with the sun ange o 1.1 degrees. We used soar radiation pressure, air drag perturbations and J perturbations. In this case the idea thruster was assumed. We chose the integration time step to be 1 seconds and simuation duration was 1 hour. We used the contro weighting matri, R = I 33, and the state weighting matri, Q = I 6 6. The system is checked or the controabiity in the simuation using Matab rank μ μr and ctrb unctions. In this simuation, the separation distance are arge so r γ and the assumption E( ) is not satisied in Eq. (1). The error is in the order o 1 to However, we wi assume E( ) and use the SDRE method to contro the ormation. Thus we are inding the optima controer or an approimate probem o A ( ) + BF ( ). 4

25 (km) y (km) z (km) Time (Seconds) Fig. 11. Separation Distances o Constant Ange Formation Fying Sateites. Figure 11 shows the reative distance between the eader and the oower sateites when the ange between them is kept at a constant. Note that the sateites move in a sinusoida ashion in i -direction and j -direction. And the distance in k -direction is varying more rapidy. We are assuming 1N thrusters in a three directions. Because the thrust necessary to keep the ormation is arger than 1N, the ange cannot be kept at 1 degrees or too ong. The thrust necessary or this ormation ying is shown in Figure 1. Note that we require a arge amount o thrust to achieve this ormation ying. Finay, Fig. 13 shows the separation ange between the two sateites. We are trying to keep this ange to 1 degrees in this ormation ying simuation. Note that the separation ange is kept 5

26 with ±.1 degrees or irst 36 seconds. i-direction (m/s ) j-direction (m/s ) k-direction (m/s ) Time (Seconds) Fig. 1. Thrusts o the Constant Ange Formation Fying Foower Sateite. 6

27 Separation Ange (Degrees) Time (Seconds) Fig. 13. Separation Ange Variation. Concusions Noninear orbita dynamic equations or ormation ying sateites are deveoped. These reative motion equations are vaid or noncopanar and eiptic ormation ying. For the specia case o in-pane ormation ying with arge ange o separations, we derived the change in position and veocity equations that can be used or ormation ying. In order to contro the sateites modeed by the newy deveoped noninear equations, we utiized the State-Dependent Riccati Equation (SDRE) contro method. Computer simuations veriied that the ormation ying using the newy deveoped orbita dynamic equations and SDRE method gave avorabe resuts. 7

28 Reerences [1] Richard H. Vassar, and Richard B. Sherwood, Formation keeping or a Pair o Sateites in a Circuar Orbit, Journa o Guidance, Contro, and Dynamics, Vo. 8, No., March-Apri 1985, pp [] Vikram Kapia, Andrew G. Sparks, James M. Buington, and Qiguo Yan, Spacecrat Formation Fying: Dynamics and Contro, Journa o Guidance, Contro, and Dynamics, Vo. 3, No. 3, May-Jun, pp [3] R. K. Yedavai, and Andrew G. Sparks, Sateite Formation Fying Contro Design Based on Hybrid Contro System Stabiity Anaysis, Proceedings o the American Contro Conerence, Chicago, Iinois, June, pp [4] Kye Ariend and Haspeter Schaub, Dynamics and Contro o Spacecrat Formations: Chaenges and Some Soutions, Journa o Astronautica Sciences, to appear. [5] Dong-Woo Gim and Kye Ariend, The State Transition Matri o Reative Motion or the Perturbed Non-Circuar Reerence Orbit, AAS/AIAA Space Fight Mechanics Meeting, Santa Barbara, Caiornia, February 1, pp [6] Gokhan Inahan, Michae Teerson, and Jonathan How, Reative Dynamics and Contro o Spacecrat Formations in Eccentric Orbits, Journa o Guidance, Contro and Dynamics, Vo. 5, No.1, January-February, pp [7] S. S. Vaddi, S.R. Vadai, and K. T. Ariend, Formation Fying: Accommodating Non-Linearity and Eccentricity Perturbations, AAS/AIAA Space Fight Mechanics Meeting, 7-3 January,, San Antonio, Teas. [8] P. K. C. Wang and F. Y. Hadaegh, Coordination and Contro o Mutipe Microspacecrat Moving in Formation, Journa o Astronautica Sciences, Vo. 44, No. 3, Juy-September 1996, pp [9] Mehran Mesbahi and Fred. Y. Hadaegh, Formation Fying Contro o Mutipe Spacecrat via Graphs, Matri Inequaities, and Switching, Journa o Guidance Contro, and Dynamics, Vo. 4, No., March 1, pp [1] James R. Coutier, Christopher N. D Souza, and Curtis P. Mracek, Noninear Reguation and Noninear H Contro Via the State-Dependent Riccati Equation Technique: Part 1, Theory, Proceeding o the Internationa Conerence on Noninear Probems in Aviation and Aerospace, May

29 [11] Key D. Hammett, Christopher D. Ha, and D. Brett Ridgey, Controabiity Issues in Noninear State-Dependent Riccati Equation Contro, Journa o Guidance, Contro, and Dynamics, Vo. 1, No. 5, September-October 1998, pp [1] Curtis P. Mracek, and James R. Coutier, Contro Designs or the Noninear Benchmark Probem Via the State-Dependent Riccati Equation Method, Internationa Journa o Robust and Noninear Contro 8, 1998, pp [13] Evrin Erdem and Andrew Aeyne, Design o a Cass o Noninear Controer via State Space Dependent Riccati Equations, IEEE Transactions on Contro Systems Technoogy, Vo. 1, No. 1, January 4, pp [14] Wiiam E. Wiese, Spaceight Dynamics, McGraw-Hi Pubishing Company, [15] Vadimir A. Chobotov, editor, Orbita Mechanics, Second Edition, AIAA, Virginia, 1996, p.8. [16] James R. Wertz and Wiey J. Larson, Space Mission Anaysis and Design, Third Edition, Microcosm Press, Kuwer Academic Pubishers,

Dynamic Pricing Trade Market for Shared Resources in IIU Federated Cloud

Dynamic Pricing Trade Market for Shared Resources in IIU Federated Cloud Dynamic Pricing Trade Market or Shared Resources in IIU Federated Coud Tongrang Fan 1, Jian Liu 1, Feng Gao 1 1Schoo o Inormation Science and Technoogy, Shiiazhuang Tiedao University, Shiiazhuang, 543,

More information

A Similarity Search Scheme over Encrypted Cloud Images based on Secure Transformation

A Similarity Search Scheme over Encrypted Cloud Images based on Secure Transformation A Simiarity Search Scheme over Encrypted Coud Images based on Secure Transormation Zhihua Xia, Yi Zhu, Xingming Sun, and Jin Wang Jiangsu Engineering Center o Network Monitoring, Nanjing University o Inormation

More information

Physics 100A Homework 11- Chapter 11 (part 1) The force passes through the point A, so there is no arm and the torque is zero.

Physics 100A Homework 11- Chapter 11 (part 1) The force passes through the point A, so there is no arm and the torque is zero. Physics A Homework - Chapter (part ) Finding Torque A orce F o magnitude F making an ange with the x axis is appied to a partice ocated aong axis o rotation A, at Cartesian coordinates (,) in the igure.

More information

Minimum Support Size of the Defender s Strong Stackelberg Equilibrium Strategies in Security Games

Minimum Support Size of the Defender s Strong Stackelberg Equilibrium Strategies in Security Games Minimum Support Size o the Deender s Strong Stackeberg Equiibrium Strategies in Security Games Jiarui Gan University o Chinese Academy o Sciences The Key Lab o Inteigent Inormation Processing, ICT, CAS

More information

Face Hallucination and Recognition

Face Hallucination and Recognition Face Haucination and Recognition Xiaogang Wang and Xiaoou Tang Department of Information Engineering, The Chinese University of Hong Kong {xgwang1, xtang}@ie.cuhk.edu.hk http://mmab.ie.cuhk.edu.hk Abstract.

More information

Advanced ColdFusion 4.0 Application Development - 3 - Server Clustering Using Bright Tiger

Advanced ColdFusion 4.0 Application Development - 3 - Server Clustering Using Bright Tiger Advanced CodFusion 4.0 Appication Deveopment - CH 3 - Server Custering Using Bri.. Page 1 of 7 [Figures are not incuded in this sampe chapter] Advanced CodFusion 4.0 Appication Deveopment - 3 - Server

More information

Simultaneous Routing and Power Allocation in CDMA Wireless Data Networks

Simultaneous Routing and Power Allocation in CDMA Wireless Data Networks Simutaneous Routing and Power Aocation in CDMA Wireess Data Networks Mikae Johansson *,LinXiao and Stephen Boyd * Department of Signas, Sensors and Systems Roya Institute of Technoogy, SE 00 Stockhom,

More information

SELECTING THE SUITABLE ERP SYSTEM: A FUZZY AHP APPROACH. Ufuk Cebeci

SELECTING THE SUITABLE ERP SYSTEM: A FUZZY AHP APPROACH. Ufuk Cebeci SELECTING THE SUITABLE ERP SYSTEM: A FUZZY AHP APPROACH Ufuk Cebeci Department of Industria Engineering, Istanbu Technica University, Macka, Istanbu, Turkey - ufuk_cebeci@yahoo.com Abstract An Enterprise

More information

COMPARISON OF DIFFUSION MODELS IN ASTRONOMICAL OBJECT LOCALIZATION

COMPARISON OF DIFFUSION MODELS IN ASTRONOMICAL OBJECT LOCALIZATION COMPARISON OF DIFFUSION MODELS IN ASTRONOMICAL OBJECT LOCALIZATION Františe Mojžíš Department of Computing and Contro Engineering, ICT Prague, Technicá, 8 Prague frantise.mojzis@vscht.cz Abstract This

More information

CONTRIBUTION OF INTERNAL AUDITING IN THE VALUE OF A NURSING UNIT WITHIN THREE YEARS

CONTRIBUTION OF INTERNAL AUDITING IN THE VALUE OF A NURSING UNIT WITHIN THREE YEARS Dehi Business Review X Vo. 4, No. 2, Juy - December 2003 CONTRIBUTION OF INTERNAL AUDITING IN THE VALUE OF A NURSING UNIT WITHIN THREE YEARS John N.. Var arvatsouakis atsouakis DURING the present time,

More information

A Supplier Evaluation System for Automotive Industry According To Iso/Ts 16949 Requirements

A Supplier Evaluation System for Automotive Industry According To Iso/Ts 16949 Requirements A Suppier Evauation System for Automotive Industry According To Iso/Ts 16949 Requirements DILEK PINAR ÖZTOP 1, ASLI AKSOY 2,*, NURSEL ÖZTÜRK 2 1 HONDA TR Purchasing Department, 41480, Çayırova - Gebze,

More information

Secure Network Coding with a Cost Criterion

Secure Network Coding with a Cost Criterion Secure Network Coding with a Cost Criterion Jianong Tan, Murie Médard Laboratory for Information and Decision Systems Massachusetts Institute of Technoogy Cambridge, MA 0239, USA E-mai: {jianong, medard}@mit.edu

More information

Fast Robust Hashing. ) [7] will be re-mapped (and therefore discarded), due to the load-balancing property of hashing.

Fast Robust Hashing. ) [7] will be re-mapped (and therefore discarded), due to the load-balancing property of hashing. Fast Robust Hashing Manue Urueña, David Larrabeiti and Pabo Serrano Universidad Caros III de Madrid E-89 Leganés (Madrid), Spain Emai: {muruenya,darra,pabo}@it.uc3m.es Abstract As statefu fow-aware services

More information

CONDENSATION. Prabal Talukdar. Associate Professor Department of Mechanical Engineering IIT Delhi E-mail: prabal@mech.iitd.ac.in

CONDENSATION. Prabal Talukdar. Associate Professor Department of Mechanical Engineering IIT Delhi E-mail: prabal@mech.iitd.ac.in CONDENSATION Praba Taukdar Associate Professor Department of Mechanica Engineering IIT Dehi E-mai: praba@mech.iitd.ac.in Condensation When a vapor is exposed to a surface at a temperature beow T sat, condensation

More information

University of Southern California

University of Southern California Master of Science in Financia Engineering Viterbi Schoo of Engineering University of Southern Caifornia Dia 1-866-469-3239 (Meeting number 924 898 113) to hear the audio portion, or isten through your

More information

A Latent Variable Pairwise Classification Model of a Clustering Ensemble

A Latent Variable Pairwise Classification Model of a Clustering Ensemble A atent Variabe Pairwise Cassification Mode of a Custering Ensembe Vadimir Berikov Soboev Institute of mathematics, Novosibirsk State University, Russia berikov@math.nsc.ru http://www.math.nsc.ru Abstract.

More information

Teamwork. Abstract. 2.1 Overview

Teamwork. Abstract. 2.1 Overview 2 Teamwork Abstract This chapter presents one of the basic eements of software projects teamwork. It addresses how to buid teams in a way that promotes team members accountabiity and responsibiity, and

More information

A train dispatching model based on fuzzy passenger demand forecasting during holidays

A train dispatching model based on fuzzy passenger demand forecasting during holidays Journa of Industria Engineering and Management JIEM, 2013 6(1):320-335 Onine ISSN: 2013-0953 Print ISSN: 2013-8423 http://dx.doi.org/10.3926/jiem.699 A train dispatching mode based on fuzzy passenger demand

More information

Maintenance activities planning and grouping for complex structure systems

Maintenance activities planning and grouping for complex structure systems Maintenance activities panning and grouping for compex structure systems Hai Canh u, Phuc Do an, Anne Barros, Christophe Berenguer To cite this version: Hai Canh u, Phuc Do an, Anne Barros, Christophe

More information

Network/Communicational Vulnerability

Network/Communicational Vulnerability Automated teer machines (ATMs) are a part of most of our ives. The major appea of these machines is convenience The ATM environment is changing and that change has serious ramifications for the security

More information

Chapter 3: e-business Integration Patterns

Chapter 3: e-business Integration Patterns Chapter 3: e-business Integration Patterns Page 1 of 9 Chapter 3: e-business Integration Patterns "Consistency is the ast refuge of the unimaginative." Oscar Wide In This Chapter What Are Integration Patterns?

More information

The Simple Pendulum. by Dr. James E. Parks

The Simple Pendulum. by Dr. James E. Parks by Dr. James E. Parks Department of Physics and Astronomy 401 Niesen Physics Buidin The University of Tennessee Knoxvie, Tennessee 37996-100 Copyriht June, 000 by James Edar Parks* *A rihts are reserved.

More information

Art of Java Web Development By Neal Ford 624 pages US$44.95 Manning Publications, 2004 ISBN: 1-932394-06-0

Art of Java Web Development By Neal Ford 624 pages US$44.95 Manning Publications, 2004 ISBN: 1-932394-06-0 IEEE DISTRIBUTED SYSTEMS ONLINE 1541-4922 2005 Pubished by the IEEE Computer Society Vo. 6, No. 5; May 2005 Editor: Marcin Paprzycki, http://www.cs.okstate.edu/%7emarcin/ Book Reviews: Java Toos and Frameworks

More information

With the arrival of Java 2 Micro Edition (J2ME) and its industry

With the arrival of Java 2 Micro Edition (J2ME) and its industry Knowedge-based Autonomous Agents for Pervasive Computing Using AgentLight Fernando L. Koch and John-Jues C. Meyer Utrecht University Project AgentLight is a mutiagent system-buiding framework targeting

More information

Pricing Internet Services With Multiple Providers

Pricing Internet Services With Multiple Providers Pricing Internet Services With Mutipe Providers Linhai He and Jean Warand Dept. of Eectrica Engineering and Computer Science University of Caifornia at Berkeey Berkeey, CA 94709 inhai, wr@eecs.berkeey.edu

More information

Figure 1. A Simple Centrifugal Speed Governor.

Figure 1. A Simple Centrifugal Speed Governor. ENGINE SPEED CONTROL Peter Westead and Mark Readman, contro systems principes.co.uk ABSTRACT: This is one of a series of white papers on systems modeing, anaysis and contro, prepared by Contro Systems

More information

ONE of the most challenging problems addressed by the

ONE of the most challenging problems addressed by the IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 44, NO. 9, SEPTEMBER 2006 2587 A Mutieve Context-Based System for Cassification of Very High Spatia Resoution Images Lorenzo Bruzzone, Senior Member,

More information

Multi-Robot Task Scheduling

Multi-Robot Task Scheduling Proc of IEEE Internationa Conference on Robotics and Automation, Karsruhe, Germany, 013 Muti-Robot Tas Scheduing Yu Zhang and Lynne E Parer Abstract The scheduing probem has been studied extensivey in

More information

Risk Assessment Methods and Application in the Construction Projects

Risk Assessment Methods and Application in the Construction Projects Internationa Journa of Modern Engineering Research (IJMER) Vo.2, Issue.3, May-June 2012 pp-1081-1085 ISS: 2249-6645 Risk Assessment Methods and Appication in the Construction Projects DR. R. K. KASAL,

More information

On Distributed Computation Rate Optimization for Deploying Cloud Computing Programming Frameworks

On Distributed Computation Rate Optimization for Deploying Cloud Computing Programming Frameworks On Distributed omputation ate Optimization for Depoying oud omputing Programming Framewors Jia Liu athy H. Xia Ness B. Shroff Xiaodong Zhang Dept. of Eectrica and omputer Engineering Dept. of Integrated

More information

ICAP CREDIT RISK SERVICES. Your Business Partner

ICAP CREDIT RISK SERVICES. Your Business Partner ICAP CREDIT RISK SERVICES Your Business Partner ABOUT ICAP GROUP ICAP Group with 56 miion revenues for 2008 and 1,000 empoyees- is the argest Business Services Group in Greece. In addition to its Greek

More information

CERTIFICATE COURSE ON CLIMATE CHANGE AND SUSTAINABILITY. Course Offered By: Indian Environmental Society

CERTIFICATE COURSE ON CLIMATE CHANGE AND SUSTAINABILITY. Course Offered By: Indian Environmental Society CERTIFICATE COURSE ON CLIMATE CHANGE AND SUSTAINABILITY Course Offered By: Indian Environmenta Society INTRODUCTION The Indian Environmenta Society (IES) a dynamic and fexibe organization with a goba vision

More information

Chapter 1 Structural Mechanics

Chapter 1 Structural Mechanics Chapter Structura echanics Introduction There are many different types of structures a around us. Each structure has a specific purpose or function. Some structures are simpe, whie others are compex; however

More information

Flatness based tracking control of a manoeuvrable vehicle : the Car

Flatness based tracking control of a manoeuvrable vehicle : the Car Fatness based tracking contro of a manoeurabe ehice : the Car P. Braut, H. Mounier Département AXIS, Institut d Éectronique Fondamentae, Bâtiment, Uniersité Paris-Sud, 9145 Orsay, FRANCE. fpatrice.braut,hugues.mounierg@ief.u-psud.fr

More information

MICROSOFT DYNAMICS CRM

MICROSOFT DYNAMICS CRM biztech TM MICROSOFT DYNAMICS CRM Experienced professionas, proven toos and methodoogies, tempates, acceerators and vertica specific soutions maximizing the vaue of your Customer Reationships Competency

More information

ASYMPTOTIC DIRECTION FOR RANDOM WALKS IN RANDOM ENVIRONMENTS arxiv:math/0512388v2 [math.pr] 11 Dec 2007

ASYMPTOTIC DIRECTION FOR RANDOM WALKS IN RANDOM ENVIRONMENTS arxiv:math/0512388v2 [math.pr] 11 Dec 2007 ASYMPTOTIC DIRECTION FOR RANDOM WALKS IN RANDOM ENVIRONMENTS arxiv:math/0512388v2 [math.pr] 11 Dec 2007 FRANÇOIS SIMENHAUS Université Paris 7, Mathématiques, case 7012, 2, pace Jussieu, 75251 Paris, France

More information

Capability Development Grant. Build business capabilities to sharpen your competitive edge

Capability Development Grant. Build business capabilities to sharpen your competitive edge Capabiity Deveopment Grant Buid business capabiities to sharpen your competitive edge 1 Buid up your business with the Capabiity Deveopment Grant The Capabiity Deveopment Grant (CDG) is a financia assistance

More information

Human Capital & Human Resources Certificate Programs

Human Capital & Human Resources Certificate Programs MANAGEMENT CONCEPTS Human Capita & Human Resources Certificate Programs Programs to deveop functiona and strategic skis in: Human Capita // Human Resources ENROLL TODAY! Contract Hoder Contract GS-02F-0010J

More information

3.5 Pendulum period. 2009-02-10 19:40:05 UTC / rev 4d4a39156f1e. g = 4π2 l T 2. g = 4π2 x1 m 4 s 2 = π 2 m s 2. 3.5 Pendulum period 68

3.5 Pendulum period. 2009-02-10 19:40:05 UTC / rev 4d4a39156f1e. g = 4π2 l T 2. g = 4π2 x1 m 4 s 2 = π 2 m s 2. 3.5 Pendulum period 68 68 68 3.5 Penduum period 68 3.5 Penduum period Is it coincidence that g, in units of meters per second squared, is 9.8, very cose to 2 9.87? Their proximity suggests a connection. Indeed, they are connected

More information

Key Features of Life Insurance

Key Features of Life Insurance Key Features of Life Insurance Life Insurance Key Features The Financia Conduct Authority is a financia services reguator. It requires us, Aviva, to give you this important information to hep you to decide

More information

Hybrid Selection of Language Model Training Data Using Linguistic Information and Perplexity

Hybrid Selection of Language Model Training Data Using Linguistic Information and Perplexity Hybrid Seection o Language Mode Training Data Using Linguistic Inormation and Antonio Tora Schoo o Computing Dubin City University Dubin, Ireand atora@computing.dcu.ie Abstract We expore the seection o

More information

Application-Aware Data Collection in Wireless Sensor Networks

Application-Aware Data Collection in Wireless Sensor Networks Appication-Aware Data Coection in Wireess Sensor Networks Xiaoin Fang *, Hong Gao *, Jianzhong Li *, and Yingshu Li +* * Schoo of Computer Science and Technoogy, Harbin Institute of Technoogy, Harbin,

More information

THE DIFFERENCE BETWEEN COEFFICIENT-OF-FRICTION AND DRAG FACTOR

THE DIFFERENCE BETWEEN COEFFICIENT-OF-FRICTION AND DRAG FACTOR THE DIERECE BETWEE COEICIET-O-RICTIO AD DRAG ACTOR Mark George, Am SAE-A Director, Accident Investigation Services Pty Ltd, Sydney, Australia. May 2005 The terms coeicient-o-riction (µ) and drag actor

More information

Pricing and Revenue Sharing Strategies for Internet Service Providers

Pricing and Revenue Sharing Strategies for Internet Service Providers Pricing and Revenue Sharing Strategies for Internet Service Providers Linhai He and Jean Warand Department of Eectrica Engineering and Computer Sciences University of Caifornia at Berkeey {inhai,wr}@eecs.berkeey.edu

More information

Betting Strategies, Market Selection, and the Wisdom of Crowds

Betting Strategies, Market Selection, and the Wisdom of Crowds Betting Strategies, Market Seection, and the Wisdom of Crowds Wiemien Kets Northwestern University w-kets@keogg.northwestern.edu David M. Pennock Microsoft Research New York City dpennock@microsoft.com

More information

SQL. Ilchul Yoon Assistant Professor State University of New York, Korea. on tables. describing schema. CSE 532 Theory of Database Systems

SQL. Ilchul Yoon Assistant Professor State University of New York, Korea. on tables. describing schema. CSE 532 Theory of Database Systems CSE 532 Theory of Database Systems Lecture 03 SQL Ichu Yoon Assistant Professor State University of New York, Korea Adapted from book authors sides SQL Language for describing database schema & operations

More information

Documents de Travail du Centre d Economie de la Sorbonne

Documents de Travail du Centre d Economie de la Sorbonne Documents de Travai du Centre d Economie de a Sorbonne Rationaizabiity and Efficiency in an Asymmetric Cournot Oigopoy Gabrie DESGRANGES, Stéphane GAUTHIER 2014.28 Maison des Sciences Économiques, 106-112

More information

Comparison of Traditional and Open-Access Appointment Scheduling for Exponentially Distributed Service Time

Comparison of Traditional and Open-Access Appointment Scheduling for Exponentially Distributed Service Time Journa of Heathcare Engineering Vo. 6 No. 3 Page 34 376 34 Comparison of Traditiona and Open-Access Appointment Scheduing for Exponentiay Distributed Service Chongjun Yan, PhD; Jiafu Tang *, PhD; Bowen

More information

Federal Financial Management Certificate Program

Federal Financial Management Certificate Program MANAGEMENT CONCEPTS Federa Financia Management Certificate Program Training to hep you achieve the highest eve performance in: Accounting // Auditing // Budgeting // Financia Management ENROLL TODAY! Contract

More information

WHITE PAPER BEsT PRAcTIcEs: PusHIng ExcEl BEyond ITs limits WITH InfoRmATIon optimization

WHITE PAPER BEsT PRAcTIcEs: PusHIng ExcEl BEyond ITs limits WITH InfoRmATIon optimization Best Practices: Pushing Exce Beyond Its Limits with Information Optimization WHITE Best Practices: Pushing Exce Beyond Its Limits with Information Optimization Executive Overview Microsoft Exce is the

More information

An Idiot s guide to Support vector machines (SVMs)

An Idiot s guide to Support vector machines (SVMs) An Idiot s guide to Support vector machines (SVMs) R. Berwick, Viage Idiot SVMs: A New Generation of Learning Agorithms Pre 1980: Amost a earning methods earned inear decision surfaces. Linear earning

More information

Life Contingencies Study Note for CAS Exam S. Tom Struppeck

Life Contingencies Study Note for CAS Exam S. Tom Struppeck Life Contingencies Study Note for CAS Eam S Tom Struppeck (Revised 9/19/2015) Introduction Life contingencies is a term used to describe surviva modes for human ives and resuting cash fows that start or

More information

Chapter 2. Mission Analysis. 2.1 Mission Geometry

Chapter 2. Mission Analysis. 2.1 Mission Geometry Chapter 2 Mission Analysis As noted in Chapter 1, orbital and attitude dynamics must be considered as coupled. That is to say, the orbital motion of a spacecraft affects the attitude motion, and the attitude

More information

Fixed income managers: evolution or revolution

Fixed income managers: evolution or revolution Fixed income managers: evoution or revoution Traditiona approaches to managing fixed interest funds rey on benchmarks that may not represent optima risk and return outcomes. New techniques based on separate

More information

Technology and Consulting - Newsletter 1. IBM. July 2013

Technology and Consulting - Newsletter 1. IBM. July 2013 Technoogy and Consuting - Newsetter Juy 2013 Wecome to Latitude Executive Consuting s atest newsetter, reviewing recent marketpace activity. The newsetter focuses on the Technoogy and Consuting sectors,

More information

FRAME BASED TEXTURE CLASSIFICATION BY CONSIDERING VARIOUS SPATIAL NEIGHBORHOODS. Karl Skretting and John Håkon Husøy

FRAME BASED TEXTURE CLASSIFICATION BY CONSIDERING VARIOUS SPATIAL NEIGHBORHOODS. Karl Skretting and John Håkon Husøy FRAME BASED TEXTURE CLASSIFICATION BY CONSIDERING VARIOUS SPATIAL NEIGHBORHOODS Kar Skretting and John Håkon Husøy University of Stavanger, Department of Eectrica and Computer Engineering N-4036 Stavanger,

More information

AA Fixed Rate ISA Savings

AA Fixed Rate ISA Savings AA Fixed Rate ISA Savings For the road ahead The Financia Services Authority is the independent financia services reguator. It requires us to give you this important information to hep you to decide whether

More information

Leadership & Management Certificate Programs

Leadership & Management Certificate Programs MANAGEMENT CONCEPTS Leadership & Management Certificate Programs Programs to deveop expertise in: Anaytics // Leadership // Professiona Skis // Supervision ENROLL TODAY! Contract oder Contract GS-02F-0010J

More information

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 31, NO. 12, DECEMBER 2013 1

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 31, NO. 12, DECEMBER 2013 1 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 31, NO. 12, DECEMBER 2013 1 Scaabe Muti-Cass Traffic Management in Data Center Backbone Networks Amitabha Ghosh, Sangtae Ha, Edward Crabbe, and Jennifer

More information

Australian Bureau of Statistics Management of Business Providers

Australian Bureau of Statistics Management of Business Providers Purpose Austraian Bureau of Statistics Management of Business Providers 1 The principa objective of the Austraian Bureau of Statistics (ABS) in respect of business providers is to impose the owest oad

More information

Vendor Performance Measurement Using Fuzzy Logic Controller

Vendor Performance Measurement Using Fuzzy Logic Controller The Journa of Mathematics and Computer Science Avaiabe onine at http://www.tjmcs.com The Journa of Mathematics and Computer Science Vo.2 No.2 (2011) 311-318 Performance Measurement Using Fuzzy Logic Controer

More information

Oracle Hyperion Tax Provision. User's Guide Release 11.1.2.2

Oracle Hyperion Tax Provision. User's Guide Release 11.1.2.2 Orace Hyperion Tax Provision User's Guide Reease 11.1.2.2 Tax Provision User's Guide, 11.1.2.2 Copyright 2013, Orace and/or its affiiates. A rights reserved. Authors: EPM Information Deveopment Team Orace

More information

Virtual trunk simulation

Virtual trunk simulation Virtua trunk simuation Samui Aato * Laboratory of Teecommunications Technoogy Hesinki University of Technoogy Sivia Giordano Laboratoire de Reseaux de Communication Ecoe Poytechnique Federae de Lausanne

More information

Best Practices for Push & Pull Using Oracle Inventory Stock Locators. Introduction to Master Data and Master Data Management (MDM): Part 1

Best Practices for Push & Pull Using Oracle Inventory Stock Locators. Introduction to Master Data and Master Data Management (MDM): Part 1 SPECIAL CONFERENCE ISSUE THE OFFICIAL PUBLICATION OF THE Orace Appications USERS GROUP spring 2012 Introduction to Master Data and Master Data Management (MDM): Part 1 Utiizing Orace Upgrade Advisor for

More information

Discounted Cash Flow Analysis (aka Engineering Economy)

Discounted Cash Flow Analysis (aka Engineering Economy) Discounted Cash Fow Anaysis (aka Engineering Economy) Objective: To provide economic comparison of benefits and costs that occur over time Assumptions: Future benefits and costs can be predicted A Benefits,

More information

Older people s assets: using housing equity to pay for health and aged care

Older people s assets: using housing equity to pay for health and aged care Key words: aged care; retirement savings; reverse mortgage; financia innovation; financia panning Oder peope s assets: using housing equity to pay for heath and aged care The research agenda on the ageing

More information

Copyright 2005 IEEE. Reprinted from IEEE MTT-S International Microwave Symposium 2005

Copyright 2005 IEEE. Reprinted from IEEE MTT-S International Microwave Symposium 2005 Copyright 2005 IEEE Reprinted rom IEEE MTT-S International Microwave Symposium 2005 This material is posted here with permission o the IEEE. Such permission o the IEEE does t in any way imply IEEE endorsement

More information

DigitalKitbag. Email marketing

DigitalKitbag. Email marketing Emai marketing Who are Digita Kitbag? We re your business marketing team Digita Kitbag is owned and operated by Johnston Press, one of the argest regiona media pubishers in the UK and Ireand. We have a

More information

Risk Margin for a Non-Life Insurance Run-Off

Risk Margin for a Non-Life Insurance Run-Off Risk Margin for a Non-Life Insurance Run-Off Mario V. Wüthrich, Pau Embrechts, Andreas Tsanakas February 2, 2011 Abstract For sovency purposes insurance companies need to cacuate so-caed best-estimate

More information

3.3 SOFTWARE RISK MANAGEMENT (SRM)

3.3 SOFTWARE RISK MANAGEMENT (SRM) 93 3.3 SOFTWARE RISK MANAGEMENT (SRM) Fig. 3.2 SRM is a process buit in five steps. The steps are: Identify Anayse Pan Track Resove The process is continuous in nature and handed dynamicay throughout ifecyce

More information

Sittiporn Channumsin Co-authors

Sittiporn Channumsin Co-authors 28 Oct 2014 Space Glasgow Research Conference Sittiporn Channumsin Sittiporn Channumsin Co-authors S. Channumsin Outline Background Objective The model Simulation Results Conclusion and Future work 2 Space

More information

Risk Margin for a Non-Life Insurance Run-Off

Risk Margin for a Non-Life Insurance Run-Off Risk Margin for a Non-Life Insurance Run-Off Mario V. Wüthrich, Pau Embrechts, Andreas Tsanakas August 15, 2011 Abstract For sovency purposes insurance companies need to cacuate so-caed best-estimate reserves

More information

Energy Density / Energy Flux / Total Energy in 3D

Energy Density / Energy Flux / Total Energy in 3D Lecture 5 Phys 75 Energy Density / Energy Fux / Tota Energy in D Overview and Motivation: In this ecture we extend the discussion of the energy associated with wave otion to waves described by the D wave

More information

500 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 31, NO. 3, MARCH 2013

500 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 31, NO. 3, MARCH 2013 500 IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 3, NO. 3, MARCH 203 Cognitive Radio Network Duaity Agorithms for Utiity Maximization Liang Zheng Chee Wei Tan, Senior Member, IEEE Abstract We

More information

GREEN: An Active Queue Management Algorithm for a Self Managed Internet

GREEN: An Active Queue Management Algorithm for a Self Managed Internet : An Active Queue Management Agorithm for a Sef Managed Internet Bartek Wydrowski and Moshe Zukerman ARC Specia Research Centre for Utra-Broadband Information Networks, EEE Department, The University of

More information

Lecture 7 Datalink Ethernet, Home. Datalink Layer Architectures

Lecture 7 Datalink Ethernet, Home. Datalink Layer Architectures Lecture 7 Dataink Ethernet, Home Peter Steenkiste Schoo of Computer Science Department of Eectrica and Computer Engineering Carnegie Meon University 15-441 Networking, Spring 2004 http://www.cs.cmu.edu/~prs/15-441

More information

We are XMA and Viglen.

We are XMA and Viglen. alearn with Microsoft 16pp 21.07_Layout 1 22/12/2014 10:49 Page 1 FRONT COVER alearn with Microsoft We are XMA and Vigen. Ca us now on 0115 846 4900 Visit www.xma.co.uk/aearn Emai alearn@xma.co.uk Foow

More information

A New Statistical Approach to Network Anomaly Detection

A New Statistical Approach to Network Anomaly Detection A New Statistica Approach to Network Anomay Detection Christian Caegari, Sandrine Vaton 2, and Michee Pagano Dept of Information Engineering, University of Pisa, ITALY E-mai: {christiancaegari,mpagano}@ietunipiit

More information

Leakage detection in water pipe networks using a Bayesian probabilistic framework

Leakage detection in water pipe networks using a Bayesian probabilistic framework Probabiistic Engineering Mechanics 18 (2003) 315 327 www.esevier.com/ocate/probengmech Leakage detection in water pipe networks using a Bayesian probabiistic framework Z. Pouakis, D. Vaougeorgis, C. Papadimitriou*

More information

OpenScape Desk Phone IP 35G OpenScape Voice. User Guide A31003-D3500-U101-2-7619

OpenScape Desk Phone IP 35G OpenScape Voice. User Guide A31003-D3500-U101-2-7619 OpenScape Desk Phone IP 35G OpenScape Voice User Guide A31003-D3500-U101-2-7619 Our Quaity and Environmenta Management Systems are impemented according to the requirements o the ISO9001 and ISO14001 standards

More information

STRATEGIC PLAN 2012-2016

STRATEGIC PLAN 2012-2016 STRATEGIC PLAN 2012-2016 CIT Bishopstown CIT Cork Schoo of Music CIT Crawford Coege of Art & Design Nationa Maritime Coege of Ireand Our Institute STRATEGIC PLAN 2012-2016 Cork Institute of Technoogy (CIT)

More information

Creat-Poreen Power Electronics Co., Ltd

Creat-Poreen Power Electronics Co., Ltd (STOCK CODE) 002350 Creat-Poreen Power Eectronics Co., Ltd Address: 4F, Xue Zhi Xuan Mansion, NO.16 Xue Qing Road, Hasidian District, Beijing, 100083 Te: +86 (010) 82755151 Fax: +86 (010) 82755268 Website:

More information

mi-rm mi-recruitment Manager the recruitment solution for Talent Managers everywhere

mi-rm mi-recruitment Manager the recruitment solution for Talent Managers everywhere mi-rm mi-recruitme Manager the recruitme soution for Tae Managers everywhere mi-rm mi-recruitme Manager Your very own tae manager First Choice Software has been a eading suppier of recruitme software since

More information

Finance 360 Problem Set #6 Solutions

Finance 360 Problem Set #6 Solutions Finance 360 Probem Set #6 Soutions 1) Suppose that you are the manager of an opera house. You have a constant margina cost of production equa to $50 (i.e. each additiona person in the theatre raises your

More information

This paper considers an inventory system with an assembly structure. In addition to uncertain customer

This paper considers an inventory system with an assembly structure. In addition to uncertain customer MANAGEMENT SCIENCE Vo. 51, No. 8, August 2005, pp. 1250 1265 issn 0025-1909 eissn 1526-5501 05 5108 1250 informs doi 10.1287/mnsc.1050.0394 2005 INFORMS Inventory Management for an Assemby System wh Product

More information

Big Data projects and use cases. Claus Samuelsen IBM Analytics, Europe csa@dk.ibm.com

Big Data projects and use cases. Claus Samuelsen IBM Analytics, Europe csa@dk.ibm.com Big projects and use cases Caus Samuesen IBM Anaytics, Europe csa@dk.ibm.com IBM Sofware Overview of BigInsights IBM BigInsights Scientist Free Quick Start (non production): IBM Open Patform BigInsights

More information

Design of Follow-Up Experiments for Improving Model Discrimination and Parameter Estimation

Design of Follow-Up Experiments for Improving Model Discrimination and Parameter Estimation Design of Foow-Up Experiments for Improving Mode Discrimination and Parameter Estimation Szu Hui Ng 1 Stephen E. Chick 2 Nationa University of Singapore, 10 Kent Ridge Crescent, Singapore 119260. Technoogy

More information

SKF Supergrip. Alignment tools

SKF Supergrip. Alignment tools SKF Supergrip Aignment toos SKF Supergrip aignment too Creates a perfect fit between the bot hoes Funny thing! Here you come to accept oi power-instaed expansion bots for your turbine fange couping as

More information

Power functions: f(x) = x n, n is a natural number The graphs of some power functions are given below. n- even n- odd

Power functions: f(x) = x n, n is a natural number The graphs of some power functions are given below. n- even n- odd 5.1 Polynomial Functions A polynomial unctions is a unction o the orm = a n n + a n-1 n-1 + + a 1 + a 0 Eample: = 3 3 + 5 - The domain o a polynomial unction is the set o all real numbers. The -intercepts

More information

INTRODUCTION TO THE FINITE ELEMENT METHOD

INTRODUCTION TO THE FINITE ELEMENT METHOD INTRODUCTION TO THE FINITE ELEMENT METHOD Evgen Barkanov Institute of Materias and Structures Facut of Civi Engineering Riga Technica Universit Riga, Preface Toda the finite eement method (FEM) is considered

More information

The Web Insider... The Best Tool for Building a Web Site *

The Web Insider... The Best Tool for Building a Web Site * The Web Insider... The Best Too for Buiding a Web Site * Anna Bee Leiserson ** Ms. Leiserson describes the types of Web-authoring systems that are avaiabe for buiding a site and then discusses the various

More information

NCH Software Warp Speed PC Tune-up Software

NCH Software Warp Speed PC Tune-up Software NCH Software Warp Speed PC Tune-up Software This user guide has been created for use with Warp Speed PC Tune-up Software Version 1.xx NCH Software Technica Support If you have difficuties using Warp Speed

More information

TERM INSURANCE CALCULATION ILLUSTRATED. This is the U.S. Social Security Life Table, based on year 2007.

TERM INSURANCE CALCULATION ILLUSTRATED. This is the U.S. Social Security Life Table, based on year 2007. This is the U.S. Socia Security Life Tabe, based on year 2007. This is avaiabe at http://www.ssa.gov/oact/stats/tabe4c6.htm. The ife eperiences of maes and femaes are different, and we usuay do separate

More information

>2033DUPS UNINTERRUPTIBLE P O W E R SUPPLIES

>2033DUPS UNINTERRUPTIBLE P O W E R SUPPLIES >2033DUPS UNINTERRUPTIBLE P O W E R SUPPLIES Mitsubishi The Leader in UPS Technoogy, Quaity & Reiabiity 2033D ONE-LINE DIAGRAMS Superior Performance, Reiabiity and Safety Come from Experience. Our Uninterruptibe

More information

Business schools are the academic setting where. The current crisis has highlighted the need to redefine the role of senior managers in organizations.

Business schools are the academic setting where. The current crisis has highlighted the need to redefine the role of senior managers in organizations. c r o s os r oi a d s REDISCOVERING THE ROLE OF BUSINESS SCHOOLS The current crisis has highighted the need to redefine the roe of senior managers in organizations. JORDI CANALS Professor and Dean, IESE

More information

Order-to-Cash Processes

Order-to-Cash Processes TMI170 ING info pat 2:Info pat.qxt 01/12/2008 09:25 Page 1 Section Two: Order-to-Cash Processes Gregory Cronie, Head Saes, Payments and Cash Management, ING O rder-to-cash and purchase-topay processes

More information

Sage Accounts Production Range

Sage Accounts Production Range Sage Accounts Production Range The abiity to dri-down from the face of the accounts makes reviewing accounts so easy. Sage Accounts Production Software As individua as you and your cients Jim O Leary,

More information

The width of single glazing. The warmth of double glazing.

The width of single glazing. The warmth of double glazing. Therma Insuation CI/SfB (31) Ro5 (M5) September 2012 The width of singe gazing. The warmth of doube gazing. Pikington Spacia Revoutionary vacuum gazing. Image courtesy of Lumen Roofight Ltd. Pikington

More information

An Integrated Data Management Framework of Wireless Sensor Network

An Integrated Data Management Framework of Wireless Sensor Network An Integrated Data Management Framework of Wireess Sensor Network for Agricutura Appications 1,2 Zhao Liang, 2 He Liyuan, 1 Zheng Fang, 1 Jin Xing 1 Coege of Science, Huazhong Agricutura University, Wuhan

More information

Professional Kingston

Professional Kingston Professiona Kingston Organisationa and workforce deveopment soutions n Facuty of Business and Law Aways improving 0/1 Contents Wecome 2 Why Kingston? 4 Course portfoio 6 Course detais 8 Work-based earning

More information