4.7 Article

Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols

期刊

NEURAL NETWORKS
卷 108, 期 -, 页码 192-201

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2018.08.013

关键词

Relative state-dependent impulsive protocols; Discrete-time non-linear multi-agent systems; Exponential consensus

资金

  1. Natural Science Foundation of China [61873213, 61633011]
  2. Chongqing Research Program of Basic Research and Frontier Technology [cstc2015jcyjBX0052]

向作者/读者索取更多资源

In this paper, we discuss the exponential consensus problem of discrete-time multi-agent systems with non-linear dynamics via relative state-dependent impulsive protocols. Impulsive protocols of which the impulsive instants are dependent on the weighted relative states of any two agents are introduced for general discrete-time multi-agent systems. The analysis of such impulsive protocols is transformed into an investigation on reduced fixed-time impulsive protocols by constructing a map, which is achieved mainly by a derived B-equivalence method in discrete-time domain. Our main results indicate that the exponential consensus of the multi-agent systems via relative state-dependent impulsive protocols can be achieved if the reduced systems via fixed-time impulsive protocols can achieve exponential consensus, which need to satisfy suitable sufficient conditions. Numerical simulations are presented to support the theoretical results. (C) 2018 Elsevier Ltd. All rights reserved.

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