DocumentCode
3306961
Title
Existence of feasible approximating trajectories for differential inclusions with obstacles as state constraints
Author
Bettiol, Piernicola ; Vinter, Richard
Author_Institution
Dept. of Electr. & Electron. Eng., Imperial Coll. London, London, UK
fYear
2009
fDate
15-18 Dec. 2009
Firstpage
8624
Lastpage
8629
Abstract
In the analysis of optimal control problems with state constraints, a key step (establishing `metric regularity´) is to show that an arbitrary state trajectory can be approximated by a feasible state trajectory, whose distance from the original state trajectory is linearly related to the state constraint violation. It is then possible, for example, to give conditions for the state constraint maximum principle to apply in normal form (the cost multiplier can be taken non-zero), to establish regularity properties of the value function and to characterize it as the unique viscosity solution of the Hamilton Jacobi Bellman equation. While a great deal of attention has been given in the literature to conditions for metric regularity, cases in which the state constraint region is the complement of a collection of boxes with corners has not previous treated. Such cases are important because they arise in the optimal control of AUVs which are required to avoid box regions in the state space. This paper provides conditions for metric regularity that cover such situations.
Keywords
Jacobian matrices; maximum principle; position control; state-space methods; Hamilton Jacobi Bellman equation; arbitrary state trajectory; differential inclusions; feasible approximating trajectories; feasible state trajectory; metric regularity; optimal control problems; state constraint maximum principle; state constraint violation; Control systems; Cost function; Equations; Extraterrestrial measurements; Jacobian matrices; Optimal control; State-space methods; Sufficient conditions; Viscosity;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
Conference_Location
Shanghai
ISSN
0191-2216
Print_ISBN
978-1-4244-3871-6
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2009.5400266
Filename
5400266
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