DocumentCode :
295125
Title :
Sufficient conditions for the optimal controls of stochastic systems
Author :
Zhou, Xiin Yu
Author_Institution :
Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Volume :
3
fYear :
1995
fDate :
13-15 Dec 1995
Firstpage :
2211
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; optimal control; stochastic systems; ℋ-function; Hamiltonian; convexity conditions; diffusion terms; drift terms; maximum conditions; optimal controls; optimality conditions; stochastic differential equations; stochastic systems; Control systems; Costs; Differential equations; Motion control; Optimal control; Research and development management; Stochastic processes; Stochastic systems; Sufficient conditions; Systems engineering and theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
ISSN :
0191-2216
Print_ISBN :
0-7803-2685-7
Type :
conf
DOI :
10.1109/CDC.1995.480531
Filename :
480531
Link To Document :
بازگشت