Two problems in decentralized adaptive control using neural networks

S. Mukhopadhyay, K. Narendra
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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.
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神经网络分散自适应控制中的两个问题
讨论了当每个控制器只有关于整个系统的部分信息时,使用多控制器对离散时间动态系统的输出进行分散自适应控制的两个问题。第一个问题是当控制器之间相互通信其控制决策而不是其测量的系统输出时,如何实现精确跟踪。第二个问题涉及分布式系统控制中的未知通信延迟。
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