Adaptive Fuzzy Predefined Accuracy Control for Output Feedback Cooperation of Nonlinear Multi-agent Systems Under Input Quantization

Dajie Yao, Xiangpeng Xie, Choon Ki Ahn

Research output: Contribution to journalArticlepeer-review

Abstract

This paper focuses on an adaptive output feedback control for nonlinear multi-agent systems (MASs) with input quantization and unknown control gains by applying a predefined accuracy approach. Unlike the existing predefined accuracy control (PAC) approaches, a predefined accuracy scheme of the output feedback control (OFC) for nonlinear multi-agent systems is studied for the first time in this paper. Moreover, the issues of input quantization and unknown control gains are introduced for the presented method, which can be addressed depending on the Nussbaum function. To reduce the problem of computational complexity, a dynamic surface technique is applied with a nonlinear filter. By employing the backstepping methodology and fuzzy logic systems, a distributed fuzzy controller can be established to ensure the tracking errors converge to a prespecified precision. Finally, some simulation results expound the accuracy of the presented control method.

Original languageEnglish
Pages (from-to)1-13
Number of pages13
JournalIEEE Transactions on Fuzzy Systems
DOIs
Publication statusAccepted/In press - 2023

Bibliographical note

Publisher Copyright:
IEEE

Keywords

  • Consensus control
  • Multi-agent systems
  • Nonlinear systems
  • Observers
  • Output feedback
  • Output feedback control
  • Picture archiving and communication systems
  • Quantization (signal)
  • dynamic surface approach
  • nonlinear multi-agent systems
  • predefined accuracy
  • unknown control gains

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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