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Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure

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【作者】 吴治海谢林柏

【Author】 Zhi-Hai Wu;Lin-Bo Xie;Engineering Research Center of Internet of Things Technology Applications of MOE, School of Internet of Things Engineering,Jiangnan University;

【通讯作者】 吴治海;

【机构】 Engineering Research Center of Internet of Things Technology Applications of MOE, School of Internet of Things Engineering,Jiangnan University

【摘要】 This paper investigates fault-tolerant finite-time dynamical consensus problems of double-integrator multi-agent systems(MASs) with partial agents subject to synchronous self-sensing function failure(SSFF). A strategy of recovering the connectivity of network topology among normal agents based on multi-hop communication and a fault-tolerant finitetime dynamical consensus protocol with time-varying gains are proposed to resist synchronous SSFF. It is proved that double-integrator MASs with partial agents subject to synchronous SSFF using the proposed strategy of network topology connectivity recovery and fault-tolerant finite-time dynamical consensus protocol with the proper time-varying gains can achieve finite-time dynamical consensus. Numerical simulations are given to illustrate the effectiveness of the theoretical results.

【Abstract】 This paper investigates fault-tolerant finite-time dynamical consensus problems of double-integrator multi-agent systems(MASs) with partial agents subject to synchronous self-sensing function failure(SSFF). A strategy of recovering the connectivity of network topology among normal agents based on multi-hop communication and a fault-tolerant finitetime dynamical consensus protocol with time-varying gains are proposed to resist synchronous SSFF. It is proved that double-integrator MASs with partial agents subject to synchronous SSFF using the proposed strategy of network topology connectivity recovery and fault-tolerant finite-time dynamical consensus protocol with the proper time-varying gains can achieve finite-time dynamical consensus. Numerical simulations are given to illustrate the effectiveness of the theoretical results.

【基金】 Project supported by the National Natural Science Foundation of China (Grant No. 61876073);the Fundamental Research Funds for the Central Universities of China (Grant No. JUSRP21920)
  • 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2022年12期
  • 【分类号】TP273
  • 【下载频次】1
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