Distributed control algorithms strive to achieve coordination between physically distributed decision-makers and controllers in order to realize some desired behavior of a large-scale system in a fast, stable and accurate manner. However, these methods almost invariably make idealization assumptions concerning the reliability and correctness of the underlying distributed computing system which is used to implement algorithms. When these assumptions are not fully met practice, it may cause substantial and even qualitative changes in the performance of the overall distributed control system. This article discusses the effects of two of the distributed computing issues ( i.e., synchronization and communication delays) on the performance of a real-time decentralized adaptive control algorithm.
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