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

• Published in: Chinese physics B Vol. 31; no. 12; pp. 128902 - 716
• Main Authors: Wu, Zhi-Hai, Xie, Lin-Bo
• Format: Journal Article
• Language: English
• Published: Chinese Physical Society and IOP Publishing Ltd 01.12.2022; Engineering Research Center of Internet of Things Technology Applications of MOE,School of Internet of Things Engineering,Jiangnan University,Wuxi 214122,China
• Subjects: finite-time dynamical consensus; multi-agent systems; network topology connectivity recovery; synchronous self-sensing function failure; synchronous self-sensing function failure; multi-agent systems; finite-time dynamical consensus; network topology connectivity recovery
• ISSN: 1674-1056
• DOI: 10.1088/1674-1056/ac8347

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.