Adaptive fault-tolerant control for a class of nonlinear multi-agent systems with multiple unknown time-varying control directions

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

27 Scopus Citations
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Author(s)

  • Xiaoyu Guo
  • Chenliang Wang
  • Lu Liu

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number111802
Journal / PublicationAutomatica
Volume167
Online published24 Jun 2024
Publication statusPublished - Sept 2024

Abstract

In this paper, we investigate the consensus tracking control for a class of heterogeneous multi-agent systems with multiple unknown time-varying control directions and unknown direction actuator faults. Different from existing work, the directions of the multiple time-varying control coefficients are subject to fault-induced sign-switching. To address this challenge, a series of high-order Lyapunov functions and differentiable functions are introduced to avoid non-integrable terms. Then, a novel contradiction statement and some Nussbaum functions are used to handle the summation of multiple unknown control coefficients with time-varying amplitudes and directions. Meanwhile, a novel distributed observer with quantized communication is introduced to track a reference trajectory with unknown dynamics. It is shown that all closed-loop signals are globally uniformly bounded and the tracking errors converge to residual sets that can be made arbitrarily small. Simulation results illustrate the effectiveness of the proposed scheme. © 2024 Elsevier Ltd

Research Area(s)

  • Actuator faults, Adaptive control, Consensus tracking, Multi-agent systems, Unknown directions