DocumentCode
1333453
Title
Sufficient conditions of optimality for stochastic systems with controllable diffusions
Author
Zhou, Xun Yu
Author_Institution
Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume
41
Issue
8
fYear
1996
fDate
8/1/1996 12:00:00 AM
Firstpage
1176
Lastpage
1179
Abstract
This paper studies optimal controls for systems governed by Ito´s stochastic differential equations. Both the drift and diffusion terms of the equations are allowed to depend on controls, and the systems are allowed to be degenerate. It is shown that the necessary conditions of optimality, namely, the maximum conditions in terms of the “ℋ-function” (which is a generalization of the usual Hamiltonian and is quadratic with respect to the diffusion coefficients), along with some convexity conditions, constitute sufficient conditions of optimality for such controlled systems
Keywords
differential equations; diffusion; optimal control; stochastic systems; Ito stochastic differential equations; controllable diffusions; convexity conditions; diffusion; drift; necessary optimality conditions; optimal controls; stochastic systems; sufficient optimality conditions; Control systems; Costs; Differential equations; Filtration; Multidimensional systems; Optimal control; Stochastic processes; Stochastic systems; Sufficient conditions; Systems engineering and theory;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.533678
Filename
533678
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