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Strong local optimality of singular trajectories Gianna Stefani Dipartimento di Matematica e Informatica, Universit` a di Firenze Nonholonomic mechanics and optimal control Institut Henri Poincar e, November 25-28, 2014 G.Stefani (DiMaI)


  1. Strong local optimality of singular trajectories Gianna Stefani Dipartimento di Matematica e Informatica, Universit` a di Firenze Nonholonomic mechanics and optimal control Institut Henri Poincar´ e, November 25-28, 2014 G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 1 / 20

  2. The optimal control problem J ( ξ, u, T ) Minimize subject to  ξ ( t ) = ( f 0 + � m ˙ i =1 u i ( t ) f i ) ◦ ξ ( t )   ξ (0) ∈ N 0 , ξ ( T ) ∈ N f   u = ( u 1 , . . . , u m ) ∈ U ⊂ R m , int U � = ∅ . state space = M ( n -dimensional), N 0 , N f - sub-manifolds C ∞ L ∞ data, control maps The focus will be on the case when the controlled vector fields f 1 , . . . , f m generate a non involutive Lie Algebra joint work with F .C. Chittaro for what is written I refer to http://arxiv.org/abs/1404.7336 partial results are in CDC 2013 G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 2 / 20

  3. The optimal control problem J ( ξ, u, T ) Minimize subject to  ξ ( t ) = ( f 0 + � m ˙ i =1 u i ( t ) f i ) ◦ ξ ( t )   ξ (0) ∈ N 0 , ξ ( T ) ∈ N f   u = ( u 1 , . . . , u m ) ∈ U ⊂ R m , int U � = ∅ . state space = M ( n -dimensional), N 0 , N f - sub-manifolds C ∞ L ∞ data, control maps The focus will be on the case when the controlled vector fields f 1 , . . . , f m generate a non involutive Lie Algebra joint work with F .C. Chittaro for what is written I refer to http://arxiv.org/abs/1404.7336 partial results are in CDC 2013 G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 2 / 20

  4. The optimal control problem J ( ξ, u, T ) Minimize subject to  ξ ( t ) = ( f 0 + � m ˙ i =1 u i ( t ) f i ) ◦ ξ ( t )   ξ (0) ∈ N 0 , ξ ( T ) ∈ N f   u = ( u 1 , . . . , u m ) ∈ U ⊂ R m , int U � = ∅ . state space = M ( n -dimensional), N 0 , N f - sub-manifolds C ∞ L ∞ data, control maps The focus will be on the case when the controlled vector fields f 1 , . . . , f m generate a non involutive Lie Algebra joint work with F .C. Chittaro for what is written I refer to http://arxiv.org/abs/1404.7336 partial results are in CDC 2013 G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 2 / 20

  5. The cost Mayer problem on [0 , � T ] fixed c 0 ( ξ (0)) + c f ( ξ ( � T )) minimize minimum time problem minimize the final time T Reference couple satisfying PMP u : [0 , � ξ : [0 , � � � T ] → U T ] → M reference control, reference trajectory an hat above denotes reference objects Reference vector field f t = f 0 + � m � i =1 � u i ( t ) f i G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 3 / 20

  6. The cost Mayer problem on [0 , � T ] fixed c 0 ( ξ (0)) + c f ( ξ ( � T )) minimize minimum time problem minimize the final time T Reference couple satisfying PMP u : [0 , � ξ : [0 , � � � T ] → U T ] → M reference control, reference trajectory an hat above denotes reference objects Reference vector field f t = f 0 + � m � i =1 � u i ( t ) f i G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 3 / 20

  7. The cost Mayer problem on [0 , � T ] fixed c 0 ( ξ (0)) + c f ( ξ ( � T )) minimize minimum time problem minimize the final time T Reference couple satisfying PMP u : [0 , � ξ : [0 , � � � T ] → U T ] → M reference control, reference trajectory an hat above denotes reference objects Reference vector field f t = f 0 + � m � i =1 � u i ( t ) f i G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 3 / 20

  8. Aim of the talk To give necessary conditions and sufficient conditions for the u , � strong local optimality of ( � ξ ) in the case when the couple is totally singular ( � u ( t ) ∈ int U ) partially singular ( only some control maps take interior values ) Strong local optimality (SLO) Roughly speaking: � ξ is a strong local minimizer if it is a minimizer w.r.t. admissible trajectories ξ ”near in graph” to � ξ independently of the values of the control functions SLO is a strong property : the optimality has to be independent of the control set , hence the sufficient conditions have to hold true also for unbounded control sets G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 4 / 20

  9. Aim of the talk To give necessary conditions and sufficient conditions for the u , � strong local optimality of ( � ξ ) in the case when the couple is totally singular ( � u ( t ) ∈ int U ) partially singular ( only some control maps take interior values ) Strong local optimality (SLO) Roughly speaking: � ξ is a strong local minimizer if it is a minimizer w.r.t. admissible trajectories ξ ”near in graph” to � ξ independently of the values of the control functions SLO is a strong property : the optimality has to be independent of the control set , hence the sufficient conditions have to hold true also for unbounded control sets G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 4 / 20

  10. Aim of the talk To give necessary conditions and sufficient conditions for the u , � strong local optimality of ( � ξ ) in the case when the couple is totally singular ( � u ( t ) ∈ int U ) partially singular ( only some control maps take interior values ) Strong local optimality (SLO) Roughly speaking: � ξ is a strong local minimizer if it is a minimizer w.r.t. admissible trajectories ξ ”near in graph” to � ξ independently of the values of the control functions SLO is a strong property : the optimality has to be independent of the control set , hence the sufficient conditions have to hold true also for unbounded control sets G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 4 / 20

  11. Partially singular trajectories the control set U is a box given by | u i | ≤ a i (possibly unbounded in some direction) the reference control map the reference control maps are either bang-bang or singular | � u i ( t ) | < a i , i = 1 , . . . , m 1 and | � u i ( t ) | = a i , i = m 1 + 1 , . . . , m the subsystem I consider also the subsystem where only the singular controls vary : � � f t + � m 1 ˙ � ◦ ξ ( t ) u 1 ∈ U 1 ⊂ R m 1 , int U 1 � = ∅ . ξ ( t ) = i =1 u i ( t ) f i with G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 5 / 20

  12. Partially singular trajectories the control set U is a box given by | u i | ≤ a i (possibly unbounded in some direction) the reference control map the reference control maps are either bang-bang or singular | � u i ( t ) | < a i , i = 1 , . . . , m 1 and | � u i ( t ) | = a i , i = m 1 + 1 , . . . , m the subsystem I consider also the subsystem where only the singular controls vary : � � f t + � m 1 ˙ � ◦ ξ ( t ) u 1 ∈ U 1 ⊂ R m 1 , int U 1 � = ∅ . ξ ( t ) = i =1 u i ( t ) f i with G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 5 / 20

  13. Partially singular trajectories the control set U is a box given by | u i | ≤ a i (possibly unbounded in some direction) the reference control map the reference control maps are either bang-bang or singular | � u i ( t ) | < a i , i = 1 , . . . , m 1 and | � u i ( t ) | = a i , i = m 1 + 1 , . . . , m the subsystem I consider also the subsystem where only the singular controls vary : � � f t + � m 1 ˙ � ◦ ξ ( t ) u 1 ∈ U 1 ⊂ R m 1 , int U 1 � = ∅ . ξ ( t ) = i =1 u i ( t ) f i with G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 5 / 20

  14. Optimality conditions with unbounded controls U = R m totally singular: U 1 = R m 1 partially singular: consider the subsystem with From one hand unbounded controls are the natural setting for strong local optimality and justify the gap between necessary and sufficient conditions when the control set is bounded. This gap appears only when the Lie algebra generated by the controlled vector fields is not involutive. From the other hand unbounded controls are possibly related to ”optimal trajectories” with jumps. Necessary conditions High Order Maximum Principle will be given Sufficient conditions The sufficient condition are given in terms of regularity conditions and of the coercivity of a suitable quadratic form. G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 6 / 20

  15. Optimality conditions with unbounded controls U = R m totally singular: U 1 = R m 1 partially singular: consider the subsystem with From one hand unbounded controls are the natural setting for strong local optimality and justify the gap between necessary and sufficient conditions when the control set is bounded. This gap appears only when the Lie algebra generated by the controlled vector fields is not involutive. From the other hand unbounded controls are possibly related to ”optimal trajectories” with jumps. Necessary conditions High Order Maximum Principle will be given Sufficient conditions The sufficient condition are given in terms of regularity conditions and of the coercivity of a suitable quadratic form. G.Stefani (DiMaI) Strong local optimality of singular trajectories hhp - Paris - November 2014 6 / 20

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