Two problems in decentralized adaptive control using neural networks

Abstract

Discusses two problems in the decentralized adaptive control of the outputs of a discrete-time dynamical system using multiple controllers, when each controller has only partial information concerning the overall system. The first problem is one of achieving exact tracking when the controllers communicate to each other their control decisions but not their measured system outputs. The second problem is concerned with unknown communication delays in the control of distributed systems.