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On decentralized linear stochastic control problems with quadratic cost

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1 Author(s)
Aoki, M. ; University of California, Los Angeles, CA, USA

A decentralized stochastic optimal control problem is considered where agents have different a priori information on the system initial state. Agents are assumed to exchange their control values but not their state vector observation values. It is shown that this leads to a suboptimal control law, with correction terms being added to the well-known optimal proportional feedback control signal obtainable under the information centralization assumption of linear dynamics with quadratic cost, when person-by-person satisfactory team decisions are considered.

Published in:

Automatic Control, IEEE Transactions on  (Volume:18 ,  Issue: 3 )