method (see []). In x we present our model for a pair of uncontrolled underwater vehicles and describe the symmetry group and the reduced dynamics (se
|
|
- Lizbeth Cook
- 6 years ago
- Views:
Transcription
1 Orientation Control of Multiple Underwater Vehicles with Symmetry Breaking Potentials Troy R. Smith 1 Dept. of Mechanical and Aerospace Engineering Princeton University Princeton, NJ 085 USA trsmith@princeton.edu Naomi Ehrich Leonard Dept. of Mechanical and Aerospace Engineering Princeton University Princeton, NJ 085 USA naomi@princeton.edu Heinz Hanßmann Prog. in Applied and Comp. Mathematics Princeton University Princeton, NJ 085 USA heinz@math.princeton.edu Abstract We present a control strategy for stable orientation alignment of autonomous vehicles traveling together as a coordinated group in three dimensional space. The control law derives from an artificial potential that depends only on the relative orientation of pairs of vehicles. The result is a controlled system of coupled rigid bodies with partially broken rotational symmetry. Semidirect product reduction theory is used to study the closed loop dynamics, and the energy Casimir method is applied to the reduced dynamics to prove stability of an alignment of vehicles translating in parallel along the same body axis. For clarity, the theory is described in detail for the case of two underwater vehicles, and the extension to an arbitrary number of underwater vehicles is summarized. 1 Introduction The study of control laws for groups of autonomous vehicles has emerged as a challenging new research topic in recent years. There are currently few examples of, and yet many possible applications for, groups of highly autonomous agents that exhibit complex collective behavior in the man made world. Researchers in this area are finding much inspiration from biological examples. Animal aggregations, such as schools of 1 Research partially supported by awufellowship in Engineering from Princeton University. Research supported by the Max Kade Foundation. Research partially supported by the National Science Foundation under grants CCR and BES 950 and by the Office of Naval Research under grant N fish, are believed to use simple, local traffic rules at the individual level but exhibit remarkable capabilities at the group level. These include rapid maneuverability, the ability toquickly process data and a markedly intelligent decision making ability []. Numerous researchers have attempted to model animal aggregation with each agent considered as a point mass (see, for example, [1, 9]). Likewise in engineering applications, group control problems are often formulated with point mass vehicle models (e.g. [8, 11]). Here we consider a group of underwater vehicles, which are modeled as rigid bodies from the outset. We note that the closest biological analogue to this system, that of a school of fish, is believed to maintain group cohesion through each individual's desire to match the speed and direction of nearby fish, and to be surrounded by a certain amount of open space (see [10]). Our focus in this paper is purely on the orientation matching part of the problem. The control law we derive is generated through judicious selection of an artificial potential function designed to break system symmetry. This work complements the development in [5] in which potential functions are used to address group geometry and inter vehicle spacing. The use of symmetry breaking potentials here leads to the method of semidirect product reduction, for which our primary reference is []. Useful examples of this technique are contained in [, ]. In [] stabilization of an arbitrary translation of a single underwater vehicle was achieved using symmetry breaking potentials. The potentials used in that work inspire our choice of potentials here for orientation alignment of multiple underwater vehicles. As in [], we prove stability by constructing a Lyapunov function on the reduced phase space by means of the energy Casimir
2 method (see []). In x we present our model for a pair of uncontrolled underwater vehicles and describe the symmetry group and the reduced dynamics (see also []). In x we review semidirect production reduction theory [] and in x we apply this to the dynamics of the pair of underwater vehicles with orientation alignment control derived from a symmetry breaking potential. In x5 we prove stability oftwo vehicles moving in alignment and in x we describe extension of the development to N vehicles. Final remarks are given in x. Model and Reduction We consider two underwater vehicles, which we shall label with the letters A and B. We assume they are identical and model each as an ellipsoidal body of mass m, as in []. For each vehicle, let the matrix J be the sum of the body inertia and the added inertia from the potential flow model of the fluid. Similarly, let M denote the sum of the body mass m multiplied by theidentity matrix and the added mass matrix. We assume that m is also the mass of the displaced fluid so that each vehicle is neutrally buoyant. If each ellipsoid has uniformly distributed mass, the center of buoyancy is coincident with the center of gravity and both J and M are diagonal in a coordinate system defined by the ellipsoid's principal axes. In these body coordinates, vehicle A moves through the fluid with translational velocity v A =(v A; 1 va; va ) T and angular velocity Ω A =(Ω A 1 ; Ω A ; Ω A ) T, with the analogous quantities for vehicle B defined similarly. The length of the ith principal axis of each ellipsoid is denoted L i and we assume that L 1 >L L. Let the diagonal elements of M be (m 1 ;m ;m ) and the diagonal elements of J be (J 1 ;J ;J ). The configuration space of the two vehicle system is SE() SE(), where SE() is the Euclidean group which globally describes rigid body positions and orientations in three dimensional space. An element in SE() SE() is given by (R A ;b A ;R B ;b B ), where R k SO() is a rotation matrix that maps body coordinates into inertial coordinates, and describes the orientation of vehicle k. Here b k is the vector from the origin of the inertial coordinate frame to the origin of the body frame of vehicle k and describes the position of this vehicle. We now find the equations of motion for the uncontrolled, two body system by means of reduction, as was done for the single underwater vehicle in []. With the above definitions and the crucial assumption that the vehicles are dynamically decoupled, the Lagrangian of this system, T T SE() T SE()! R, isgiven by the kinetic energy T (q A ;q B ) = 1 (Ω A ) T JΩ A +(v A ) T Mv A (.1) + 1 (Ω B ) T JΩ B +(v B ) T Mv B where, for k = A; B, we use the shorthand q k = (R k ;b k ;R k bω k ;R k v k ) T SE(). The mappingb R! so(), where so() is the space of skew symmetric matrices, is defined such that for x; y R,^xy = x y. Under the lift of the left action of SE() SE() on itself, by means of left translation L ( μ RA ; μ ba ; μ RB ; μ bb ) SE() SE()! SE() SE(), the Lagrangian (.1) becomes T (T L ( μ RA ; μ ba ; μ RB ; μ bb ) (q A ;q B )) = T ( μ R A R A ; μ R A b A + μ b A ; μ R A R A bω A ; μ R A R A v A ; μr B R B ; μ R B b B + μ b B ; μ R B R B bω B ; μ R B R B v B ) = T (q A ;q B ) This shows the Lagrangian (and therefore the Hamiltonian and thus the equations of motion) to be invariant under translations and rotations of the inertial frame, so we say the system has full SE() SE() symmetry. Accordingly, Lie Poisson reduction (see []) of the dynamics by the action of SE() SE() induces a Lie Poisson system on (se() se()) Λ = se() Λ se() Λ, where se() is the Lie algebra of SE() and se() Λ is the dual of se(). That is, because of symmetry, the equations of motion can be reduced from those on the dimensional phase space T Λ SE() T Λ SE() to the 1 dimensional space se() Λ se() Λ. We denote an element in the reduced phase space by μ = (Π A ;P A ; Π B ;P B ) where for k = A; B Π k = JΩ k ; P k = Mv k (.) Written in terms of μ se() Λ se() Λ the reduced Hamiltonian is H(μ) = 1 (Π A ) T J 1 Π A +(P A ) T M 1 P A +(Π B ) T J 1 Π B +(P B ) T M 1 P B Here, Π k and P k are the angular and linear momentum vectors, respectively, for the kth vehicle. Given two differentiable functions F; Q on se() Λ se() Λ,thePoisson bracket on se() Λ se() Λ which makes se() Λ se() Λ apoisson manifold is ff; Qg(μ) =rf T Λ(μ)rQ; (.) ψ! Π b Λ(μ) = diag(λ A ; Λ B ); Λ k = k P bk bp k 0 The Lie Poisson equations of motion are given by _μ i = fμ i ;Hg(μ); (.)
3 equivalently, by _Π A 5 = P_ A _Π B P_ B Π A Ω A + P A v A P A Ω A Π B Ω B + P B v B P B Ω B 5 ; (.5) which are simply Kirchhoff's Equations (see [] and references therein). Semidirect Product Reduction Theory In the case when the Hamiltonian is dependent ona parameter, a, and is invariant under the action of a subgroup of the Lie group G, reduction can be achieved by means of semidirect products. Following [], we denote the space containing a by V Λ and define the semidirect product group of G with the vector space V as S = G ρ V with multiplication given by (g 1 ;u 1 )(g ;u )=(g 1 g ;u 1 + ρ(g 1 )u ) (.1) where ρ is a left representation of G on V,i.e.ρ G! Aut(V) is a group homomorphism, with Aut(V ) the Lie group of all isomorphisms of V. Let s = g ρ 0 V be the Lie algebra of S (where g is the Lie algebra of G) with Lie bracket given by [(ο 1 ;ν 1 ); (ο ;ν )]=([ο 1 ;ο ];ρ 0 (ο 1 )ν ρ 0 (ο 1 )ν 1 ) (.) where ρ 0 g! End(V ) is the induced Lie algebra representation, and End(V ) is the Lie algebra of Aut(V ) the space of all linear maps of V into itself. The ±" Poisson bracket of two functions F; Q s Λ ±! R at the point (μ; a) s Λ = g Λ ρ 0 V Λ is given by fi» ffif ff; Qg ± (μ; a) =± μ; fi ffif ± a; ρ 0 ffiq ffiμ ffia ρ0 ffiμ ; ffiq fl ffiμ ffiq ffiμ ffif ffia fl The Hamiltonian vector field of H s Λ ±! R is (.) X H (μ; a) =ΛrH (.) where Λ is the matrix representation of the Poission bracket given in (.). We additionally define L g to be the left action on G (i.e. L g G! G, h! gh), while T Λ L g is its cotangent lift to the cotangent bundle T Λ G (see []). We are now in a position to state the Semidirect Product Reduction Theorem. Theorem.1 (Marsden et al. []) Let H a T Λ G! R be a Hamiltonian depending smoothly on a parameter a V Λ, and left invariant under the action on T Λ G of the stabilizer G a, defined as G a = fg G j ρ Λ (g)a = ag (.5) where ρ is a left representation of G on the vector space V,andρ Λ is the associated right representation of G on V Λ. The family of Hamiltonians fh a j a V Λ g induces a Hamiltonian function H on the space s Λ, defined byh((t e L g ) Λ ff g ;ρ Λ (g)a) =H a (ff g ), thus yielding Lie Poisson equations on s Λ. Semidirect Product Reduction Orientation Control Application We now revisit our system of two underwater vehicles and introduce an artificial potential to stabilize the equilibrium R A = KR B, where K SO() is a (matrix) parameter we are free to choose. We are particularly interested in the case K = I, the identity matrix, since this corresponds to two vehicles moving with orientations in alignment. The form of our potential, V p,isgiven by V p = ff Tr(I (R A ) T KR B ) (.1) where Tr is the trace operator for square matrices and ff is a scalar control gain which, if chosen to be strictly positive, ensures that V p has a global minimum of zero at R A = KR B. With this potential the Lagrangian becomes L(q A ;q B )=T (q A ;q B ) ff Tr(I (R A ) T KR B ) with kinetic energy (1). Under the left action of SE() SE() the Lagrangian becomes L(T L ( μ RA ; μ ba ; μ RB ; μ bb ) (q A ;q B )) = T (q A ;q B ) ff Tr(I (R A ) T ( μ R A ) T K μ R B R B ) The Lagrangian (and likewise the Hamiltonian and the equations of motion) will be invariant provided ( μ R A ) T K μ R B = K (.) The mechanical system is thus invariant under action of the group G K = f(r A ;b A ;R B ;b B ) SE() SE() j (R A ) T KR B = Kg (.) We remark that G K is (isomorphic to) a semidirect product of SO() with R R, where the pertinent representation of SO() on R R depends on the choice of K. In case K = I this representation is simply the diagonal action R! (R; R) andg I is (isomorphic to) the double semidirect product S considered in Section.. of []. The potential energy coupling terms have thus broken the full SE() SE() symmetry, leaving the (left) symmetry group of the system to be G K. This means
4 that the Lagrangian is unchanged by arbitrary translations of bodies A and B and arbitrary rotations R such that R B = R and R A = KRK T (i.e. R A = R B for K = I ). Define ρ SE() SE()! Aut(SO()) by ρ(r A ;b A ;R B ;b B )K = R A K(R B ) T where Aut(SO()) is the Lie group of all automorphisms of SO(). Given two matrices Y R n1 m1, Z R n m,we define their Kronecker Product, denoted by Y Ω Z R n1n m1m, as y 11 Z y 1m1 Z Y Ω Z = (.) y n11 Z y n1m1 Z With this definition it is easy to check that there is a direct correspondence between the elements of R A K(R B ) T R and those of (R A Ω R B ) K e R 9, where K e = (e T K; 1 et K; et K)T. We can thus equivalently define ρ SE() SE()! Aut(R 9 ) by ρ(r A ;b A ;R B ;b B ) K e = (R A Ω R B ) K, e where Aut(R 9 ) denotes the set of invertible linear mappings on R 9. An element in the Lie group S = (SE() SE()) ρ R 9 can be represented by an matrix of the form R A b A R B b B R A Ω R B K e and the group action is given simply by matrix multiplication. Let ρ Λ be the associated right representation of SE() SE() on R 9, given by ρ Λ (R A ;b A ;R B ;b B ) e K =((R A ) T Ω (R B ) T ) e K (.5) Then G K as defined in (.) is the stabilizer of e K R 9 under ρ Λ, i.e. 5 G K = f(r A ;b A ;R B ;b B ) SE() SE() j ρ Λ (R A ;b A ;R B ;b B ) e K = e Kg By Theorem.1 the Hamiltonian dynamics on T Λ (SE() SE()) can be reduced to a Lie Poisson system on the 1 dimensional space s Λ, the dual of the Lie algebra s of S. In fact, s =(se() se()) ρ 0 R where ρ 0 is the induced Lie algebra representation, given by ρ 0 (bff; ν A ; b fi;ν B )» = bff»» b fi; (.) where (bff; ν A ), ( b fi;ν B ) se(),» R. From (.) we can compute the Lie bracket of two elements of the Lie algebra s. Elements in the Lie algebra s can be represented by matrices of the form bff ν A fi b ν B bff Ω I + I Ω fi b e» where e» = (e T»; 1 et»; et»)t. The Lie bracket of two Lie algebra elements in this form is given simply by the matrix commutator. Recalling the definition μ = (Π A ;P A ; Π B ;P B ), where the elements of this vector are defined in (.), we note that μ s = (μ; X) is an element in s Λ where X SO() ρ R is defined by X = ρ Λ (R A ;b A ;R B ;b B )K =(R A ) T KR B (.) For future notational convenience we write X T =( ; ±; ) where ; ±; R. Written in terms of these new variables the reduced Hamiltonian is 5 H s (μ s ) = 1 (Π A ) T J 1 Π A +(P A ) T M 1 P A + (Π B ) T J 1 Π B +(P B ) T M 1 P B + ff ( e 1 +± e + e ) (.8) Since we have performed reduction by means of the left action, the reduced phase space is s Λ (with lower signs in (.)). The first term in the expression for the Poisson bracket (.) is given by the expression in (.). Using this, and defining the pairing between matrices in R and R Λ to be <Y;Z>=Tr(Y T Z) yields the following expression for the Poisson bracket ff; Qg(Π A ;P A ; Π B ;P B ;X) = Π A (r Π A F r Π A Q) Π B (r Π B F r Π B Q) P A (r P A F r Π A Q) P B (r P B F r Π B Q) " " dffif Tr X T ffiq d ffiπ A ffix ffiq ffif d ffiq ffix ffiπ ffif d B ffiπ + ffif ffiq ## A ffix ffix ffiπ B We summarize our results in the following Proposition. Proposition.1 The dynamics of two rigid underwater vehicles coupled by means of a control law that realizes the artificial potential (.1) describes a system that is Hamiltonian on T Λ SE() T Λ SE() with symmetry group G K. Reduction by this symmetry group yields Lie Poisson dynamics on s Λ, the dual of the Lie algebra of the semidirect product S = (SE() SE()) ρ R. In the coordinates μ s =
5 (Π A ;P A ; Π B ;P B ; ; ±; ) of the reduced space s Λ the differential equations governing the reduced dynamics are _Π A =Π A Ω A + P A v A u _Π B =Π B Ω B + P B v B + u _ P A = P A Ω A _ P B = P B Ω B _ =[ 0 ± ]Ω A + Ω B _± =[ 0 ]Ω A +± Ω B _ =[ ± 0 ]Ω A + Ω B (.9) where thecontrol torque u on vehicles A and B is given by u = ff ( e 1 +± e + e ) These dynamics correspond to _μ s = Λ s (μ s )rh s (μ s ) where H s is given in (.8) and Λ s (μ s )= bπ A P ba 0 0 a b c bp A bπ B P bb b b± b 0 0 P bb a T 0 b b T 0 b± c T 0 b The matrices a; b and c are given by 0 a = T 5 ;b= T 0 5 ;c= ±T T ± T T 0 5 (.10) The maximal rank of the Poisson bracket (.10) on the whole 1 dimensional space s Λ being 1, there may be up to nine independent Casimirs, i.e. functions that Poisson commute with any other function and as a result are constant along system trajectories for any Hamiltonian. We found the following six Casimir functions C 1 = kp A k C = kp B k C = (P B ) T ( ; ±; )P A C = k k + k±k + k k C 5 = k ±k + k± k + k k C = ( ±) The functions k k ; k±k ; k k ; ±; ± ; arenot Casimirs on the whole space s Λ ; they only become constant along system trajectories once we restrict to the subset t Λ =(se() se()) ρ 0 SO() of s Λ. On this 15 dimensional submanifold the Casimirs C ;C 5 ;C assume the fixed values C, C 5, C 1. 5 Proposition. On the subset t Λ sλ given by k k = k±k = k k =1; ±=± = =0 the 1 dimensional symplectic leaves are obtained by fixing the values of the three functionally independent Casimir functions C 1 ;C and C. 5 Stability of the Reduced System We examine dynamic stability at equilibria of the reduced system of the form (Π A ;P A ; Π B ;P B ; ; ±; ) =(0;P A 0 e ; 0;P B 0 e ;e 1 ;e ;e ) (5.1) with P A 0 ;P B 0 both different from zero. Physically, such equilibria correspond to underwater vehicles A and B being aligned, non rotating and each translating along its shortest axis. We note that motion of an underwater vehicle along any but its shortest axis is unstable unless it is spinning, or stabilized by a controlled moment ([,, 1]. The control laws derived in this paper provide no such moment and thus, without additional control terms, stability along the shortest axis is the best that can be hoped for. To findalyapunov function, we make the ansatz H Φ = H s +Φ(C 1 ;C ;C ;C ;C 5 ;C ) Let Φ (l) be the derivative of Φ with respect to C l at the equilibrium (5.1). The first variation of H Φ will be zero at this equilibrium provided P A 0 +P A 0 Φ (1) + P B 0 Φ () m = 0 P B 0 +P B 0 Φ () + P A 0 Φ () m = 0 ff +Φ () +Φ (5) +Φ () = 0 ff + P A 0 P B 0 Φ () +Φ () +Φ (5) +Φ () = 0 This implies Φ () = 0, and taking Φ (5) =Φ () =0 we may choose Φ to have the following simple form Φ = (kp A k P A 0 P A 0 ) kp A k =(m ) + (kp B k P B 0 P B 0 ) kp B k =(m ) + ff (k k + k±k + k k ) We nowcheck for definiteness of the second variation at the equilibrium point. The Hessian of H Φ has an associated matrix given by diag(j 1 ; f M A ;J 1 ; f M B ;ffi ;ffi ;ffi ) where f M k =diag(1=m 1 1=m ; 1=m 1=m ; 8(P k 0 ) ), for k = A; B. The Hessian is thus positive definite provided ff>0. Stability follows by the energy Casimir method [].
6 Proposition 5.1 Consider two rigid underwater vehicles with controlled dynamics described by (.9). Take ff>0. Then, the equilibrium (5.1) corresponding to the two vehicles with full (three dimensional) alignment in orientation and each translating along its shortest axis is stable. The Case of N Vehicles The case of N underwater vehicles, when considered as N(N 1)= possible pairwise interactions, can be treated as a natural extension of the two vehicle problem. We label each ofourn vehicles with an index (i) for i =1;N, and now seek an appropriate artificial potential to stabilize the equilibrium R (j) = K (jk) R (k), for all pairs j; k satisfying 1» j<k» N (.1) where K (jk) SO() is a (matrix) parameter relating the orientation of body (j) to that of body (k). For consistency, we must include the requirement that K (ji) K (ik) = K (jk) 8 j; k and j<i<k This requirement will be trivially satisfied in the case K (jk) = I 8 j; k satisfying (1) As in x, this choice corresponds to our desire to stabilize the equilibrium consisting of all N vehicles having the same orientation. Adjusting the definitions of V p ; e K and ρ appropriately the semidirect product reduction follows through in much the same wayasinx. Further details will be provided in a future publication. Concluding Remarks We haveshown in this paper how to use symmetry breaking potentials to generate a control law to effect stable orientation control for a pair of underwater vehicles. To prove asymptotic stability we can add a dissipation term to the control law and use the same Lyapunov function H Φ constructed in x5. In fact, the Lyapunov function can be used like a control Lyapunov function to prescribe the form of the dissipation control term and to study stability in the presence of physical dissipation, i.e., drag (see [1]). We remark that the various symmetry groups G K for (non aligning) relative orientation K SO() are all isomorphic to G I through an inner automorphism of SE() SE(). This may allow for an extension of the approach presented here to the case of prescribed time varying relative orientations K(t). In a future publication we will present the details of the extension of this work to N vehicles that was introduced in x. Further, we plan to couple this work with the theory presented in [] to allow the stabilization of motion of our underwater vehicles with arbitrary steady translations, and to prevent translational drift of our vehicle system. This will allow for stabilization of the vehicles in alignment and moving along their long axes (long axis motion being the preferred motion for streamlined bodies). It is also of interest to investigate the addition of control terms which depend on the relative distance between vehicles. These terms will be intended to break translational symmetry, forcing P A 0 = P B 0 in (5.1). For example, relative distance dependent factors might be included in the orientation control such that each vehicle tries to align itself only with its nearest neighbors. We will also consider adding to the orientation control the type of control laws featured in [1, 5] such that we produce formations of aligned vehicles with desirable group geometries and inter vehicle spacing. References [1] Heppner, F. and Grenander, U. [1990] A stochastic nonlinear model for coordinated bird flocks, In S. Krusna, editor, The Ubiquity of Chaos, AAAS Pubs., 8. [] Parrish, J.K. and Edelstein Keshet, L. [1999] >From individuals to emergent properties Complexity, pattern, evolutionary trade offs in animal aggregation, Science 8, [] Leonard, N.E. [199] Stability of a bottom heavy underwater vehicle, Automatica, 1. [] Leonard, N.E. [199] Stabilization of underwater vehicle dynamics with symmetry breaking potentials, Systems and Control Letters, 5. [5] Leonard, N.E. and Fiorelli, E. [001] Virtual leaders, artificial potentials and coordinated control of groups, Proc. IEEE CDC. [] Marsden, J. E. and Ratiu, T. [1999] Introduction to Mechanics and Symmetry, nd Ed., Springer Verlag, New York, NY. [] Marsden, J. E., Ratiu, T. and Weinstein, A. [198] Semidirect products and reduction in mechanics, Transactions of the AMS 811, 1 1. [8] McInnes, C.R. [1995] Distributed control of maneuvering vehicles for on orbit assembly, Journal of Guidance, Control and Dynamics 185, [9] Okubo, A. [1985] Dynamical aspects of animal grouping swarms, flocks, schools and herds, Advances in Biophysics, 19. [10] Partridge, B.L. [198] The structure and function of fish schools, Scientific American, [11] Wang, P.K.C. [1989] Navigation strategies for multiple autonomous mobile robots moving in formation, IEEE/RSJ International Workshop on Intelligent Robots and Systems, 8 9. [1] Woolsey, C.A. and Leonard, N.E. [1999] Global asymptotic stabilization of an underwater vehicles using internal rotors. Proc. IEEE CDC, 5 5.
Cooperative Control and Mobile Sensor Networks
Cooperative Control and Mobile Sensor Networks Cooperative Control, Part I, A-C Naomi Ehrich Leonard Mechanical and Aerospace Engineering Princeton University and Electrical Systems and Automation University
More informationSymmetry and Reduction for Coordinated Rigid Bodies
European Journal of Control, Vol. 2, No. 2, p. 176-194, 26 Symmetry and Reduction for Coordinated Rigid Bodies Heinz Hanßmann Institut für Reine und Angewandte Mathematik RWTH Aachen, 5256 Aachen, Germany
More informationCooperative Control and Mobile Sensor Networks
Cooperative Control and Mobile Sensor Networks Cooperative Control, Part I, D-F Naomi Ehrich Leonard Mechanical and Aerospace Engineering Princeton University and Electrical Systems and Automation University
More informationVehicle Networks for Gradient Descent in a Sampled Environment
Proc. 41st IEEE Conf. Decision and Control, 22 Vehicle Networks for Gradient Descent in a Sampled Environment Ralf Bachmayer and Naomi Ehrich Leonard 1 Department of Mechanical and Aerospace Engineering
More informationMoving Mass Control for Underwater Vehicles
Moving Mass Control for Underwater Vehicles C. A. Woolsey 1 & N. E. Leonard 2 1 Aerospace & Ocean Engineering Virginia Tech Blacksburg, VA 2461 cwoolsey@vt.edu 2 Mechanical & Aerospace Engineering Princeton
More informationStability and Drift of Underwater Vehicle Dynamics: Mechanical Systems with Rigid Motion Symmetry
Stability and Drift of Underwater Vehicle Dynamics: Mechanical Systems with Rigid Motion Symmetry Naomi Ehrich Leonard Department of Mechanical and Aerospace Engineering Princeton University Princeton,
More informationA note on stability of spacecrafts and underwater vehicles
A note on stability of spacecrafts and underwater vehicles arxiv:1603.00343v1 [math-ph] 1 Mar 2016 Dan Comănescu Department of Mathematics, West University of Timişoara Bd. V. Pârvan, No 4, 300223 Timişoara,
More informationA Normal Form for Energy Shaping: Application to the Furuta Pendulum
Proc 4st IEEE Conf Decision and Control, A Normal Form for Energy Shaping: Application to the Furuta Pendulum Sujit Nair and Naomi Ehrich Leonard Department of Mechanical and Aerospace Engineering Princeton
More informationGraph Theoretic Methods in the Stability of Vehicle Formations
Graph Theoretic Methods in the Stability of Vehicle Formations G. Lafferriere, J. Caughman, A. Williams gerardol@pd.edu, caughman@pd.edu, ancaw@pd.edu Abstract This paper investigates the stabilization
More informationSHAPE CONTROL OF A MULTI-AGENT SYSTEM USING TENSEGRITY STRUCTURES
SHAPE CONTROL OF A MULTI-AGENT SYSTEM USING TENSEGRITY STRUCTURES Benjamin Nabet,1 Naomi Ehrich Leonard,1 Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544 USA, {bnabet, naomi}@princeton.edu
More informationStabilization of a Specified Equilibrium in the Inverted Equilibrium Manifold of the 3D Pendulum
Proceedings of the 27 American Control Conference Marriott Marquis Hotel at Times Square New York City, USA, July 11-13, 27 ThA11.6 Stabilization of a Specified Equilibrium in the Inverted Equilibrium
More informationDynamics and Stability application to submerged bodies, vortex streets and vortex-body systems
Dynamics and Stability application to submerged bodies, vortex streets and vortex-body systems Eva Kanso University of Southern California CDS 140B Introduction to Dynamics February 5 and 7, 2008 Fish
More informationStabilization and Passivity-Based Control
DISC Systems and Control Theory of Nonlinear Systems, 2010 1 Stabilization and Passivity-Based Control Lecture 8 Nonlinear Dynamical Control Systems, Chapter 10, plus handout from R. Sepulchre, Constructive
More informationAutonomous Underwater Vehicles: Equations of Motion
Autonomous Underwater Vehicles: Equations of Motion Monique Chyba - November 18, 2015 Departments of Mathematics, University of Hawai i at Mānoa Elective in Robotics 2015/2016 - Control of Unmanned Vehicles
More informationStabilization of Collective Motion of Self-Propelled Particles
Stabilization of Collective Motion of Self-Propelled Particles Rodolphe Sepulchre 1, Dere Paley 2, and Naomi Leonard 2 1 Department of Electrical Engineering and Computer Science, Université de Liège,
More informationThe Erwin Schrodinger International Pasteurgasse 6/7. Institute for Mathematical Physics A-1090 Wien, Austria
ESI The Erwin Schrodinger International Pasteurgasse 6/7 Institute for Mathematical Physics A-090 Wien, Austria On the Rigid Body with Two Linear Controls Mircea Craioveanu Mircea Puta Vienna, Preprint
More informationAsymptotic Stabilization of the Heavy Top Using Controlled Lagrangians 1
Asymptotic Stabilization of the Heavy Top Using Controlled Lagrangians 1 Dong Eui Chang Jerrold E. Marsden Control and Dynamical Systems 107-81 California Institute of Technology Pasadena, CA 9115 {dchang@cds.caltech.edu,
More informationPhysical Dynamics (SPA5304) Lecture Plan 2018
Physical Dynamics (SPA5304) Lecture Plan 2018 The numbers on the left margin are approximate lecture numbers. Items in gray are not covered this year 1 Advanced Review of Newtonian Mechanics 1.1 One Particle
More informationsource of food, and biologists have developed a number of models for the traffic rules that govern their successful cooperative behavior (see, for exa
To appear in Proc. Symposium on Mathematical Theory of Networks and Systems, August 2002 Formations with a Mission: Stable Coordination of Vehicle Group Maneuvers Petter ÖgrenΛ petter@math.kth.se Optimization
More informationExtremal Collective Behavior
49th IEEE Conference on Decision and Control December 5-7, Hilton Atlanta Hotel, Atlanta, GA, USA Extremal Collective Behavior E W Justh and P S Krishnaprasad Abstract Curves and natural frames can be
More informationControlled Lagrangians and the Stabilization of Mechanical Systems II: Potential Shaping
1556 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 46, NO. 10, OCTOBER 2001 Controlled Lagrangians the Stabilization of Mechanical Systems II: Potential Shaping Anthony M. Bloch, Member, IEEE, Dong Eui
More informationDistributed Structural Stabilization and Tracking for Formations of Dynamic Multi-Agents
CDC02-REG0736 Distributed Structural Stabilization and Tracking for Formations of Dynamic Multi-Agents Reza Olfati-Saber Richard M Murray California Institute of Technology Control and Dynamical Systems
More informationStabilization of a 3D Rigid Pendulum
25 American Control Conference June 8-, 25. Portland, OR, USA ThC5.6 Stabilization of a 3D Rigid Pendulum Nalin A. Chaturvedi, Fabio Bacconi, Amit K. Sanyal, Dennis Bernstein, N. Harris McClamroch Department
More informationStabilization of Collective Motion in Three Dimensions: A Consensus Approach
Stabilization of Collective Motion in Three Dimensions: A Consensus Approach Luca Scardovi, Naomi Ehrich Leonard, and Rodolphe Sepulchre Abstract This paper proposes a methodology to stabilize relative
More informationRobot Control Basics CS 685
Robot Control Basics CS 685 Control basics Use some concepts from control theory to understand and learn how to control robots Control Theory general field studies control and understanding of behavior
More informationThree-Dimensional Motion Coordination in a Spatiotemporal Flowfield
IEEE TRANSACTIONS ON AUTOMATIC CONTROL 1 Three-Dimensional Motion Coordination in a Spatiotemporal Flowfield Sonia Hernandez and Dere A. Paley, Member, IEEE Abstract Decentralized algorithms to stabilize
More informationMULTI-AGENT TRACKING OF A HIGH-DIMENSIONAL ACTIVE LEADER WITH SWITCHING TOPOLOGY
Jrl Syst Sci & Complexity (2009) 22: 722 731 MULTI-AGENT TRACKING OF A HIGH-DIMENSIONAL ACTIVE LEADER WITH SWITCHING TOPOLOGY Yiguang HONG Xiaoli WANG Received: 11 May 2009 / Revised: 16 June 2009 c 2009
More informationAlmost Global Robust Attitude Tracking Control of Spacecraft in Gravity
Almost Global Robust Attitude Tracking Control of Spacecraft in Gravity Amit K. Sanyal Nalin A. Chaturvedi In this paper, we treat the practical problem of tracking the attitude and angular velocity of
More informationIN THIS PAPER, we present a method and proof for stably
1292 IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL 49, NO 8, AUGUST 2004 Cooperative Control of Mobile Sensor Networks: Adaptive Gradient Climbing in a Distributed Environment Petter Ögren, Member, IEEE,
More information3D Pendulum Experimental Setup for Earth-based Testing of the Attitude Dynamics of an Orbiting Spacecraft
3D Pendulum Experimental Setup for Earth-based Testing of the Attitude Dynamics of an Orbiting Spacecraft Mario A. Santillo, Nalin A. Chaturvedi, N. Harris McClamroch, Dennis S. Bernstein Department of
More informationHamiltonian Dynamics from Lie Poisson Brackets
1 Hamiltonian Dynamics from Lie Poisson Brackets Jean-Luc Thiffeault Department of Applied Physics and Applied Mathematics Columbia University http://plasma.ap.columbia.edu/~jeanluc 12 February 2002 2
More informationLECTURE 1: LINEAR SYMPLECTIC GEOMETRY
LECTURE 1: LINEAR SYMPLECTIC GEOMETRY Contents 1. Linear symplectic structure 3 2. Distinguished subspaces 5 3. Linear complex structure 7 4. The symplectic group 10 *********************************************************************************
More informationDecentralized Guidance and Control for Spacecraft Formation Flying Using Virtual Target Configuration
Decentralized Guidance and Control for Spacecraft Formation Flying Using Virtual Target Configuration Daero Lee 1, Sasi Prabhaaran Viswanathan 2, Lee Holguin 2, Amit K. Sanyal 4 and Eric A. Butcher 5 Abstract
More informationRigid body stability and Poinsot s theorem
Rigid body stability Rigid body stability and Ravi N Banavar banavar@iitb.ac.in 1 1 Systems and Control Engineering, IIT Bombay, India November 7, 2013 Outline 1 Momentum sphere-energy ellipsoid 2 The
More informationA MARSDEN WEINSTEIN REDUCTION THEOREM FOR PRESYMPLECTIC MANIFOLDS
A MARSDEN WEINSTEIN REDUCTION THEOREM FOR PRESYMPLECTIC MANIFOLDS FRANCESCO BOTTACIN Abstract. In this paper we prove an analogue of the Marsden Weinstein reduction theorem for presymplectic actions of
More informationVirtual leader approach to coordinated control of multiple mobile agents with asymmetric interactions
Physica D 213 (2006) 51 65 www.elsevier.com/locate/physd Virtual leader approach to coordinated control of multiple mobile agents with asymmetric interactions Hong Shi, Long Wang, Tianguang Chu Intelligent
More informationLECTURE 3 MATH 261A. Office hours are now settled to be after class on Thursdays from 12 : 30 2 in Evans 815, or still by appointment.
LECTURE 3 MATH 261A LECTURES BY: PROFESSOR DAVID NADLER PROFESSOR NOTES BY: JACKSON VAN DYKE Office hours are now settled to be after class on Thursdays from 12 : 30 2 in Evans 815, or still by appointment.
More informationTTK4190 Guidance and Control Exam Suggested Solution Spring 2011
TTK4190 Guidance and Control Exam Suggested Solution Spring 011 Problem 1 A) The weight and buoyancy of the vehicle can be found as follows: W = mg = 15 9.81 = 16.3 N (1) B = 106 4 ( ) 0.6 3 3 π 9.81 =
More informationSE(N) Invariance in Networked Systems
SE(N) Invariance in Networked Systems Cristian-Ioan Vasile 1 and Mac Schwager 2 and Calin Belta 3 Abstract In this paper, we study the translational and rotational (SE(N)) invariance properties of locally
More informationTopics in Representation Theory: Lie Groups, Lie Algebras and the Exponential Map
Topics in Representation Theory: Lie Groups, Lie Algebras and the Exponential Map Most of the groups we will be considering this semester will be matrix groups, i.e. subgroups of G = Aut(V ), the group
More informationTHE collective control of multiagent systems is a rapidly
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 52, NO. 5, MAY 2007 811 Stabilization of Planar Collective Motion: All-to-All Communication Rodolphe Sepulchre, Member, IEEE, Derek A. Paley, Student Member,
More informationPassivity Indices for Symmetrically Interconnected Distributed Systems
9th Mediterranean Conference on Control and Automation Aquis Corfu Holiday Palace, Corfu, Greece June 0-3, 0 TuAT Passivity Indices for Symmetrically Interconnected Distributed Systems Po Wu and Panos
More informationPhysical Dynamics (PHY-304)
Physical Dynamics (PHY-304) Gabriele Travaglini March 31, 2012 1 Review of Newtonian Mechanics 1.1 One particle Lectures 1-2. Frame, velocity, acceleration, number of degrees of freedom, generalised coordinates.
More informationRotational motion of a rigid body spinning around a rotational axis ˆn;
Physics 106a, Caltech 15 November, 2018 Lecture 14: Rotations The motion of solid bodies So far, we have been studying the motion of point particles, which are essentially just translational. Bodies with
More informationNonlinear Tracking Control of Underactuated Surface Vessel
American Control Conference June -. Portland OR USA FrB. Nonlinear Tracking Control of Underactuated Surface Vessel Wenjie Dong and Yi Guo Abstract We consider in this paper the tracking control problem
More informationSeptember 21, :43pm Holm Vol 2 WSPC/Book Trim Size for 9in by 6in
1 GALILEO Contents 1.1 Principle of Galilean relativity 2 1.2 Galilean transformations 3 1.2.1 Admissible force laws for an N-particle system 6 1.3 Subgroups of the Galilean transformations 8 1.3.1 Matrix
More informationProblems in Linear Algebra and Representation Theory
Problems in Linear Algebra and Representation Theory (Most of these were provided by Victor Ginzburg) The problems appearing below have varying level of difficulty. They are not listed in any specific
More informationSymplectic and Poisson Manifolds
Symplectic and Poisson Manifolds Harry Smith In this survey we look at the basic definitions relating to symplectic manifolds and Poisson manifolds and consider different examples of these. We go on to
More informationSYMPLECTIC GEOMETRY: LECTURE 5
SYMPLECTIC GEOMETRY: LECTURE 5 LIAT KESSLER Let (M, ω) be a connected compact symplectic manifold, T a torus, T M M a Hamiltonian action of T on M, and Φ: M t the assoaciated moment map. Theorem 0.1 (The
More informationM3-4-5 A16 Notes for Geometric Mechanics: Oct Nov 2011
M3-4-5 A16 Notes for Geometric Mechanics: Oct Nov 2011 Text for the course: Professor Darryl D Holm 25 October 2011 Imperial College London d.holm@ic.ac.uk http://www.ma.ic.ac.uk/~dholm/ Geometric Mechanics
More informationINTRODUCTION TO LIE ALGEBRAS. LECTURE 2.
INTRODUCTION TO LIE ALGEBRAS. LECTURE 2. 2. More examples. Ideals. Direct products. 2.1. More examples. 2.1.1. Let k = R, L = R 3. Define [x, y] = x y the cross-product. Recall that the latter is defined
More informationRigid-Body Attitude Control USING ROTATION MATRICES FOR CONTINUOUS, SINGULARITY-FREE CONTROL LAWS
Rigid-Body Attitude Control USING ROTATION MATRICES FOR CONTINUOUS, SINGULARITY-FREE CONTROL LAWS 3 IEEE CONTROL SYSTEMS MAGAZINE» JUNE -33X//$. IEEE SHANNON MASH Rigid-body attitude control is motivated
More informationA new product on 2 2 matrices
A new product on 2 2 matrices L Kramer, P Kramer, and V Man ko October 17, 2018 arxiv:1802.03048v1 [math-ph] 8 Feb 2018 Abstract We study a bilinear multiplication rule on 2 2 matrices which is intermediate
More informationMulti-Robotic Systems
CHAPTER 9 Multi-Robotic Systems The topic of multi-robotic systems is quite popular now. It is believed that such systems can have the following benefits: Improved performance ( winning by numbers ) Distributed
More information1/30. Rigid Body Rotations. Dave Frank
. 1/3 Rigid Body Rotations Dave Frank A Point Particle and Fundamental Quantities z 2/3 m v ω r y x Angular Velocity v = dr dt = ω r Kinetic Energy K = 1 2 mv2 Momentum p = mv Rigid Bodies We treat a rigid
More informationLecture 41: Highlights
Lecture 41: Highlights The goal of this lecture is to remind you of some of the key points that we ve covered this semester Note that this is not the complete set of topics that may appear on the final
More informationKeywords: Kinematics; Principal planes; Special orthogonal matrices; Trajectory optimization
Editorial Manager(tm) for Nonlinear Dynamics Manuscript Draft Manuscript Number: Title: Minimum Distance and Optimal Transformations on SO(N) Article Type: Original research Section/Category: Keywords:
More informationOn a Hamiltonian version of a 3D Lotka-Volterra system
On a Hamiltonian version of a 3D Lotka-Volterra system Răzvan M. Tudoran and Anania Gîrban arxiv:1106.1377v1 [math-ph] 7 Jun 2011 Abstract In this paper we present some relevant dynamical properties of
More informationA DISCRETE THEORY OF CONNECTIONS ON PRINCIPAL BUNDLES
A DISCRETE THEORY OF CONNECTIONS ON PRINCIPAL BUNDLES MELVIN LEOK, JERROLD E. MARSDEN, AND ALAN D. WEINSTEIN Abstract. Connections on principal bundles play a fundamental role in expressing the equations
More informationRigid bodies - general theory
Rigid bodies - general theory Kinetic Energy: based on FW-26 Consider a system on N particles with all their relative separations fixed: it has 3 translational and 3 rotational degrees of freedom. Motion
More informationSteering the Chaplygin Sleigh by a Moving Mass
Steering the Chaplygin Sleigh by a Moving Mass Jason M. Osborne Department of Mathematics North Carolina State University Raleigh, NC 27695 jmosborn@unity.ncsu.edu Dmitry V. Zenkov Department of Mathematics
More informationDecentralized Stabilization of Heterogeneous Linear Multi-Agent Systems
1 Decentralized Stabilization of Heterogeneous Linear Multi-Agent Systems Mauro Franceschelli, Andrea Gasparri, Alessandro Giua, and Giovanni Ulivi Abstract In this paper the formation stabilization problem
More informationDynamical Systems & Lyapunov Stability
Dynamical Systems & Lyapunov Stability Harry G. Kwatny Department of Mechanical Engineering & Mechanics Drexel University Outline Ordinary Differential Equations Existence & uniqueness Continuous dependence
More informationBACKGROUND IN SYMPLECTIC GEOMETRY
BACKGROUND IN SYMPLECTIC GEOMETRY NILAY KUMAR Today I want to introduce some of the symplectic structure underlying classical mechanics. The key idea is actually quite old and in its various formulations
More informationStable Flocking Motion of Mobile Agents Following a Leader in Fixed and Switching Networks
International Journal of Automation and Computing 1 (2006) 8-16 Stable Flocking Motion of Mobile Agents Following a Leader in Fixed and Switching Networks Hui Yu, Yong-Ji Wang Department of control science
More informationJ.F. Cari~nena structures and that of groupoid. So we will nd topological groupoids, Lie groupoids, symplectic groupoids, Poisson groupoids and so on.
Lie groupoids and algebroids in Classical and Quantum Mechanics 1 Jose F. Cari~nena Departamento de Fsica Teorica. Facultad de Ciencias. Universidad de Zaragoza, E-50009, Zaragoza, Spain. Abstract The
More informationUnderwater vehicles: a surprising non time-optimal path
Underwater vehicles: a surprising non time-optimal path M. Chyba Abstract his paper deals with the time-optimal problem for a class of underwater vehicles. We prove that if two configurations at rest can
More informationThe Toda Lattice. Chris Elliott. April 9 th, 2014
The Toda Lattice Chris Elliott April 9 th, 2014 In this talk I ll introduce classical integrable systems, and explain how they can arise from the data of solutions to the classical Yang-Baxter equation.
More informationSpacecraft Attitude Control with RWs via LPV Control Theory: Comparison of Two Different Methods in One Framework
Trans. JSASS Aerospace Tech. Japan Vol. 4, No. ists3, pp. Pd_5-Pd_, 6 Spacecraft Attitude Control with RWs via LPV Control Theory: Comparison of Two Different Methods in One Framework y Takahiro SASAKI,),
More informationMATHEMATICAL STRUCTURES IN CONTINUOUS DYNAMICAL SYSTEMS
MATHEMATICAL STRUCTURES IN CONTINUOUS DYNAMICAL SYSTEMS Poisson Systems and complete integrability with applications from Fluid Dynamics E. van Groesen Dept. of Applied Mathematics University oftwente
More informationControlled Lagrangian Methods and Tracking of Accelerated Motions
Controlled Lagrangian Methods and Tracking of Accelerated Motions Dmitry V. Zenkov* Department of Mathematics North Carolina State University Raleigh, NC 7695 dvzenkov@unity.ncsu.edu Anthony M. Bloch**
More informationStochastic Hamiltonian systems and reduction
Stochastic Hamiltonian systems and reduction Joan Andreu Lázaro Universidad de Zaragoza Juan Pablo Ortega CNRS, Besançon Geometric Mechanics: Continuous and discrete, nite and in nite dimensional Ban,
More informationOn local normal forms of completely integrable systems
On local normal forms of completely integrable systems ENCUENTRO DE Răzvan M. Tudoran West University of Timişoara, România Supported by CNCS-UEFISCDI project PN-II-RU-TE-2011-3-0103 GEOMETRÍA DIFERENCIAL,
More informationRelaxed Matching for Stabilization of Mechanical Systems
Relaxed Matching for Stabilization of Mechanical Systems D.A. Long, A.M. Bloch, J.E. Marsden, and D.V. Zenkov Keywords: Controlled Lagrangians, kinetic shaping Abstract. The method of controlled Lagrangians
More informationTheory of Vibrations in Stewart Platforms
Theory of Vibrations in Stewart Platforms J.M. Selig and X. Ding School of Computing, Info. Sys. & Maths. South Bank University London SE1 0AA, U.K. (seligjm@sbu.ac.uk) Abstract This article develops a
More informationarxiv:math/ v1 [math.ag] 18 Oct 2003
Proc. Indian Acad. Sci. (Math. Sci.) Vol. 113, No. 2, May 2003, pp. 139 152. Printed in India The Jacobian of a nonorientable Klein surface arxiv:math/0310288v1 [math.ag] 18 Oct 2003 PABLO ARÉS-GASTESI
More informationVideo 2.1a Vijay Kumar and Ani Hsieh
Video 2.1a Vijay Kumar and Ani Hsieh Robo3x-1.3 1 Introduction to Lagrangian Mechanics Vijay Kumar and Ani Hsieh University of Pennsylvania Robo3x-1.3 2 Analytical Mechanics Aristotle Galileo Bernoulli
More informationRepresentation Theory
Representation Theory Representations Let G be a group and V a vector space over a field k. A representation of G on V is a group homomorphism ρ : G Aut(V ). The degree (or dimension) of ρ is just dim
More informationTowards Abstraction and Control for Large Groups of Robots
Towards Abstraction and Control for Large Groups of Robots Calin Belta and Vijay Kumar University of Pennsylvania, GRASP Laboratory, 341 Walnut St., Philadelphia, PA 1914, USA Abstract. This paper addresses
More informationThe Erwin Schrodinger International Pasteurgasse 6/7. Institute for Mathematical Physics A-1090 Wien, Austria
ESI The Erwin Schrodinger International Pasteurgasse 6/7 Institute for Mathematical Physics A-1090 Wien, Austria On an Extension of the 3{Dimensional Toda Lattice Mircea Puta Vienna, Preprint ESI 165 (1994)
More informationTHE EULER CHARACTERISTIC OF A LIE GROUP
THE EULER CHARACTERISTIC OF A LIE GROUP JAY TAYLOR 1 Examples of Lie Groups The following is adapted from [2] We begin with the basic definition and some core examples Definition A Lie group is a smooth
More informationPHYSICAL APPLICATIONS OF GEOMETRIC ALGEBRA
January 26, 1999 PHYSICAL APPLICATIONS OF GEOMETRIC ALGEBRA LECTURE 4 SUMMARY In this lecture we will build on the idea of rotations represented by rotors, and use this to explore topics in the theory
More informationStable Flocking of Mobile Agents, Part I: Fixed Topology
1 Stable Flocking of Mobile Agents, Part I: Fixed Topology Herbert G. Tanner, Ali Jadbabaie and George J. Pappas Department of Electrical and Systems Enginnering University of Pennsylvania Abstract This
More informationLecture 37: Principal Axes, Translations, and Eulerian Angles
Lecture 37: Principal Axes, Translations, and Eulerian Angles When Can We Find Principal Axes? We can always write down the cubic equation that one must solve to determine the principal moments But if
More informationComputational Geometric Uncertainty Propagation for Hamiltonian Systems on a Lie Group
Computational Geometric Uncertainty Propagation for Hamiltonian Systems on a Lie Group Melvin Leok Mathematics, University of California, San Diego Foundations of Dynamics Session, CDS@20 Workshop Caltech,
More informationA CRASH COURSE IN EULER-POINCARÉ REDUCTION
A CRASH COURSE IN EULER-POINCARÉ REDUCTION HENRY O. JACOBS Abstract. The following are lecture notes from lectures given at the Fields Institute during the Legacy of Jerrold E. Marsden workshop. In these
More informationBRST and Dirac Cohomology
BRST and Dirac Cohomology Peter Woit Columbia University Dartmouth Math Dept., October 23, 2008 Peter Woit (Columbia University) BRST and Dirac Cohomology October 2008 1 / 23 Outline 1 Introduction 2 Representation
More information12 Geometric quantization
12 Geometric quantization 12.1 Remarks on quantization and representation theory Definition 12.1 Let M be a symplectic manifold. A prequantum line bundle with connection on M is a line bundle L M equipped
More informationLecture 38: Equations of Rigid-Body Motion
Lecture 38: Equations of Rigid-Body Motion It s going to be easiest to find the equations of motion for the object in the body frame i.e., the frame where the axes are principal axes In general, we can
More informationDynamics. Dynamics of mechanical particle and particle systems (many body systems)
Dynamics Dynamics of mechanical particle and particle systems (many body systems) Newton`s first law: If no net force acts on a body, it will move on a straight line at constant velocity or will stay at
More informationFlocking while Preserving Network Connectivity
Flocking while Preserving Network Connectivity Michael M Zavlanos, Ali Jadbabaie and George J Pappas Abstract Coordinated motion of multiple agents raises fundamental and novel problems in control theory
More informationFINAL EXAM GROUND RULES
PHYSICS 507 Fall 2011 FINAL EXAM Room: ARC-108 Time: Wednesday, December 21, 10am-1pm GROUND RULES There are four problems based on the above-listed material. Closed book Closed notes Partial credit will
More informationClifford Algebras and Spin Groups
Clifford Algebras and Spin Groups Math G4344, Spring 2012 We ll now turn from the general theory to examine a specific class class of groups: the orthogonal groups. Recall that O(n, R) is the group of
More informationMatrix Mathematics. Theory, Facts, and Formulas with Application to Linear Systems Theory. Dennis S. Bernstein
Matrix Mathematics Theory, Facts, and Formulas with Application to Linear Systems Theory Dennis S. Bernstein PRINCETON UNIVERSITY PRESS PRINCETON AND OXFORD Contents Special Symbols xv Conventions, Notation,
More informationPhysics 106a, Caltech 4 December, Lecture 18: Examples on Rigid Body Dynamics. Rotating rectangle. Heavy symmetric top
Physics 106a, Caltech 4 December, 2018 Lecture 18: Examples on Rigid Body Dynamics I go through a number of examples illustrating the methods of solving rigid body dynamics. In most cases, the problem
More informationHamiltonian Toric Manifolds
Hamiltonian Toric Manifolds JWR (following Guillemin) August 26, 2001 1 Notation Throughout T is a torus, T C is its complexification, V = L(T ) is its Lie algebra, and Λ V is the kernel of the exponential
More informationReduction of Symplectic Lie Algebroids by a Lie Subalgebroid and a Symmetry Lie Group
Symmetry, Integrability and Geometry: Methods and Applications SIGMA 3 (2007), 049, 28 pages Reduction of Symplectic Lie Algebroids by a Lie Subalgebroid and a Symmetry Lie Group David IGLESIAS, Juan Carlos
More informationCritical points of the integral map of the charged 3-body problem
Critical points of the integral map of the charged 3-body problem arxiv:1807.04522v1 [math.ds] 12 Jul 2018 Abstract I. Hoveijn, H. Waalkens, M. Zaman Johann Bernoulli Institute for Mathematics and Computer
More information1 Hamiltonian formalism
1 Hamiltonian formalism 1.1 Hamilton s principle of stationary action A dynamical system with a finite number n degrees of freedom can be described by real functions of time q i (t) (i =1, 2,..., n) which,
More informationExperimental Results for Almost Global Asymptotic and Locally Exponential Stabilization of the Natural Equilibria of a 3D Pendulum
Proceedings of the 26 American Control Conference Minneapolis, Minnesota, USA, June 4-6, 26 WeC2. Experimental Results for Almost Global Asymptotic and Locally Exponential Stabilization of the Natural
More information