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

doi:10.1088/1674-1056/ac8347

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: wuzhihai@jiangnan.edu.cn

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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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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