Adaptive fuzzy finite-time tracking control of uncertain non-affine multi-agent systems with input quantization

Xiangyu Fan, Peng Bai, L. I. Huanyu, Xiongfeng Deng*, Maolong Lv

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)
4 Downloads (Pure)

Abstract

In this paper, the finite-time tracking control problem of a class of multi-agent systems with nonaffine functions and uncertain nonlinearity is investigated, which is different from the existing on high-order multi-agent systems with pure feedback forms. The multi-agent systems considered in this paper, moreover, the nonaffine functions and uncertain nonlinearities are completely unknown, and the input of each follower agent is quantized through a hysteresis quantizer. Based on the help of the fuzzy logic systems approximator, an adaptive fuzzy finite-time tracking control protocol with adaptive update laws is presented by the backstepping technique. On the basis of the finite-time stability strategy and Bhat and Bernstein theorem, the finite-time stability of designed control protocol is fully analyzed. Under the proposed control protocol, it is indicated that the tracking error of each follower agent can press on a small neighborhood in a finite time. Finally, the effectiveness of designed control protocol in this paper is analyzed by numerical examples.

Original languageEnglish
Pages (from-to)187623-187633
JournalIEEE Access
Volume8
DOIs
Publication statusPublished - 2020

Keywords

  • Finite-time tracking control
  • Fuzzy logic systems
  • Input quantization
  • Uncertain nonaffine mutli-agent systems

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