International audienceIn optimal control, sensitivity relations associate to a minimizing trajectory x(.) a pair of mappings formed by the Hamiltonian and the dual arc, that are selections from the generalized gradient of the value function at (t, x(t)) for each time t. In this paper we prove such sensitivity relations for the Mayer optimal control problem with dynamics described by a differential inclusion. If the associated Hamiltonian is semiconvex with respect to the state variable, then we show that sensitivity relations hold true for any dual arc associated to an optimal solution, instead of more traditional statements about the existence of a dual arc satisfying such relations
This talk deals with stability and sensitiv-ity analysis for optimal control problems of an ordinary...
This paper considers an optimal control problem with a parameter and develops a systematic method fo...
In this paper, we consider a class of optimal control problems governed by a differential system. We...
In optimal control, sensitivity relations are usually understood as inclusions that identify the pai...
In optimal control, sensitivity relations are usually understood as inclusions that identi...
This paper investigates the value function, V , of a Mayer optimal control problem with the state eq...
International audienceSensitivity relations in optimal control identify the costate trajectory and t...
International audienceSensitivity relations in optimal control provide an interpretation of the cost...
Sensitivity relations in optimal control provide an interpretation of the costate trajectory and the...
In many practical situations, the parameters of a control system are not known exactly. For this rea...
International audienceFirst-order necessary conditions for optimality reveal the Hamiltonian nature ...
We consider a nonlinear optimal control problem governed by a nonlinear evolution inclusion and depe...
We consider an optimal control problem of Mayer type and prove that, under suitable conditions on th...
Dans cette thèse nous étudions une classe d’équations de Hamilton-Jacobi-Bellman provenant de la thé...
AbstractWe consider the Mayer optimal control problem with dynamics given by a nonconvex differentia...
This talk deals with stability and sensitiv-ity analysis for optimal control problems of an ordinary...
This paper considers an optimal control problem with a parameter and develops a systematic method fo...
In this paper, we consider a class of optimal control problems governed by a differential system. We...
In optimal control, sensitivity relations are usually understood as inclusions that identify the pai...
In optimal control, sensitivity relations are usually understood as inclusions that identi...
This paper investigates the value function, V , of a Mayer optimal control problem with the state eq...
International audienceSensitivity relations in optimal control identify the costate trajectory and t...
International audienceSensitivity relations in optimal control provide an interpretation of the cost...
Sensitivity relations in optimal control provide an interpretation of the costate trajectory and the...
In many practical situations, the parameters of a control system are not known exactly. For this rea...
International audienceFirst-order necessary conditions for optimality reveal the Hamiltonian nature ...
We consider a nonlinear optimal control problem governed by a nonlinear evolution inclusion and depe...
We consider an optimal control problem of Mayer type and prove that, under suitable conditions on th...
Dans cette thèse nous étudions une classe d’équations de Hamilton-Jacobi-Bellman provenant de la thé...
AbstractWe consider the Mayer optimal control problem with dynamics given by a nonconvex differentia...
This talk deals with stability and sensitiv-ity analysis for optimal control problems of an ordinary...
This paper considers an optimal control problem with a parameter and develops a systematic method fo...
In this paper, we consider a class of optimal control problems governed by a differential system. We...