Title :
Sufficient conditions for the optimal controls of stochastic systems
Author_Institution :
Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, Shatin, Hong Kong
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;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.480531