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Dynamic programming approach to decentralized stochastic control problems

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1 Author(s)
Tsuneo Yoshikawa ; Kyoto University, Kyoto, Japan

This paper treats problems of decentralized control of stochastic discrete-time dynamic systems with one-step-delay sharing information structure. It is shown that, by applying dynamic programming technique, the problem can be decomposed into several static team problems. For LQG case, this approach gives a solution which clearly shows the relation between estimation and control functions in the optimal control policy. Also the form of this solution is convenient for numerical computation of the optimal control.

Published in:

Decision and Control including the 13th Symposium on Adaptive Processes, 1974 IEEE Conference on

Date of Conference:

20-22 Nov. 1974