DocumentCode
3082294
Title
Convex duality and generalized solutions in the optimal control problem for stopped processes-the deterministic model
Author
Zhu, Hang
Author_Institution
Div. of Appl. Math., Brown Univ., Providence, RI, USA
fYear
1990
fDate
5-7 Dec 1990
Firstpage
1414
Abstract
The approach consists of imbedding the original control problem tightly in a convex mathematical programming problem on the space of measures and then solving the latter problem by duality in convex analysis. The dual problem is to find the supremum of all smooth subsolutions to Bellman´s equation. Because of the effect of stops at the boundary of the domain, a different formulation of strong and weak problems is adopted to make use of the duality method. Results on the decomposition of weak measures provide a clear interpretation for such an effect in the weak formulation of the control problem. The convex duality approach of W.H. Fleming and D. Vermes (1989) is used to study a deterministic optimal control problem for stopped processes
Keywords
convex programming; duality (mathematics); optimal control; Bellman´s equation; convex duality; convex mathematical programming; deterministic model; domain boundary; optimal control; stopped processes; strong problems; weak problems; Cause effect analysis; Control systems; Controllability; Cost function; Diffusion processes; Integral equations; Mathematical model; Mathematical programming; Mathematics; Optimal control;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1990., Proceedings of the 29th IEEE Conference on
Conference_Location
Honolulu, HI
Type
conf
DOI
10.1109/CDC.1990.203843
Filename
203843
Link To Document