Abstract
In this paper we give an overview of decentralized decision making and control research and try to discern its trends. We first examine the decentralized structures which arise in a number of application areas. We then consider the stabilization of composite systems which are subjected to decentralized information constraints and we also examine appropriate design techniques for such systems. This is followed by a presentation of the basic results on stochastic decentralized and partially decentralized control problems where non-classical information patterns arise. Decentralized state estimation is also briefly discussed and the robustness issues in decentralized control are addressed. Some conclusions are then given on promising future research directions.
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