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Abstract: Considering some predictive mechanisms, we show that ultrafastaverage-consensus can be achieved in networks of interconnected agents. Morespecifically, by predicting the dynamics of the network several steps ahead andusing this information in the design of the consensus protocol of each agent,drastic improvements can be achieved in terms of the speed of consensusconvergence, without changing the topology of the network. Moreover, usingthese predictive mechanisms, the range of sampling periods leading to consensusconvergence is greatly expanded compared with the routine consensus protocol.This study provides a mathematical basis for the idea that some predictivemechanisms exist in widely-spread biological swarms, flocks, and networks. Fromthe industrial engineering point of view, inclusion of an efficient predictivemechanism allows for a significant increase in the speed of consensusconvergence and also a reduction of the communication energy required toachieve a predefined consensus performance.



Author: Hai-Tao Zhang, Guy-Bart Stan, Michael ZhiQiang Chen, Jan M. Maciejowski, Tao Zhou

Source: https://arxiv.org/







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