Cluster synchronization of heterogeneous nonlinear multi-agent systems with actuator faults and IQCs through adaptive fault-tolerant pinning control

Xiang Gui Guo, Pei Ming Liu, Hong Jian Li, Jian Liang Wang, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the cluster synchronization problem of a heterogeneous second-order leader-following multi-agent system with nonlinear dynamics, actuator faults, and integral quadratic constraints (IQCs) under a directed topology with a directed spanning tree is investigated. Based on the local topology information, two adaptive fault-tolerant pinning control strategies with fixed and adaptive pinning gains are proposed to guarantee cluster synchronization in finite time. An adaptive input compensation is developed to attenuate the adverse effects of actuator faults. It is worth mentioning that just one parameter needs to be estimated for each agent in this compensation, which implies that the strategies designed in this paper can effectively reduce the computational cost. Furthermore, the use of the pinning control method instead of the fully equipped control method makes the strategies more cost-effective for large-scale multi-agent systems. Finally, numerical simulation examples are introduced to demonstrate the effectiveness and advantages of the proposed strategies.

Original languageEnglish
Pages (from-to)289-305
Number of pages17
JournalInformation Sciences
Volume575
DOIs
Publication statusPublished - 2021 Oct

Keywords

  • Cluster synchronization
  • Fault-tolerant control
  • Integral quadratic constraints (IQCs)
  • Multi-agent system
  • Pinning control

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

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