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Chin. Phys. B, 2022, Vol. 31(12): 128902    DOI: 10.1088/1674-1056/ac8347

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

Zhi-Hai Wu(吴治海) and Lin-Bo Xie(谢林柏)
Engineering Research Center of Internet of Things Technology Applications of MOE, School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China
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 finite-time 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.
Keywords:  multi-agent systems      synchronous self-sensing function failure      finite-time dynamical consensus      network topology connectivity recovery  
Received:  23 June 2022      Revised:  14 July 2022      Accepted manuscript online:  22 July 2022
PACS:  89.75.-k (Complex systems)  
  05.65.+b (Self-organized systems)  
  02.30.Yy (Control theory)  
Fund: Project supported by the National Natural Science Foundation of China (Grant No. 61876073) and the Fundamental Research Funds for the Central Universities of China (Grant No. JUSRP21920).
Corresponding Authors:  Zhi-Hai Wu     E-mail:

Cite this article: 

Zhi-Hai Wu(吴治海) and Lin-Bo Xie(谢林柏) Fault-tolerant finite-time dynamical consensus of double-integrator multi-agent systems with partial agents subject to synchronous self-sensing function failure 2022 Chin. Phys. B 31 128902

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