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Quantized consensus in second-order multi-agent systems via event-trigger control with sampled data
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DOI：10.1016/j.jfranklin.2017.12.012.png)
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Abstract
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This paper addresses the quantized consensus problem of second-order multi-agent systems (MASs) where the topology has a directed spanning tree. An event-trigger control protocol (ETCP) is proposed by designing a combined threshold. The combined threshold not only reduces more event triggers than the state-dependent threshold, but also is more practical than the time-dependent threshold. For further reducing computation resources and transmission cost, the sampled data, self-trigger scheme and data quantization are employed together. Under the proposed ETCP, the sufficient condition is derived to guarantee the quantized consensus of second-order MASs. Finally, the comparison experiments are conducted to demonstrate the superiority of ETCP based on the combined threshold. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
Keywords:
TRANSMISSION STRATEGY
SUFFICIENT CONDITIONS
SWITCHING TOPOLOGY
DIRECTED TOPOLOGY
AVERAGE CONSENSUS
NETWORKS
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