DocumentCode :
115435
Title :
Sensitivity relations for the Mayer problem of optimal control
Author :
Cannarsa, Piermarco ; Frankowska, Helene ; Scarinci, Teresa
Author_Institution :
Dipt. di Mat., Univ. di Roma `Tor Vergata´, Rome, Italy
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
4298
Lastpage :
4303
Abstract :
Sensitivity relations in optimal control refer to the interpretation of the gradients of the value function in terms of the costate arc and the Hamiltonian evaluated along an extremal. In general, the value function is not differentiable and for this reason its gradients have to be replaced by generalized differentials. 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. Furthermore, several applications are provided.
Keywords :
gradient methods; optimal control; sensitivity analysis; Mayer optimal control problem; costate arc; differential inclusion; gradient interpretation; optimal control; semiconvex; sensitivity relations; value function; Conferences; Context; Dynamic programming; Optimal control; Sensitivity; Trajectory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-1-4799-7746-8
Type :
conf
DOI :
10.1109/CDC.2014.7040059
Filename :
7040059
Link To Document :
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