Command-Filter-Based Adaptive Fuzzy Finite-Time Control for Switched Nonlinear Systems Using State-Dependent Switching Method

Shi Li, Choon Ki Ahn, Zhengrong Xiang

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

The adaptive fuzzy finite-Time tracking control problem of a class of switched nonlinear systems is investigated in this study. Fuzzy logic systems are introduced to handle the unknown nonlinear terms in the considered system. To overcome the drawback in the recursive design method, a finite-Time command filter is employed. By constructing a new state-dependent switching law and adaptive fuzzy control signal, the existing restrictions on subsystems of switched systems are relaxed, all subsystems of the considered system are allowed to be unstabilizable. To avoid the Zeno behavior, a new hysteresis switching law is derived. It is proven that all states of the closed-loop system are bounded in finite time under the proposed fuzzy finite-Time control scheme. Additionally, the proposed control method is extended to a class of more general switched large-scale nonlinear systems. Finally, two examples are provided to verify the developed method's effectiveness.

Original languageEnglish
Article number8957247
Pages (from-to)833-845
Number of pages13
JournalIEEE Transactions on Fuzzy Systems
Volume29
Issue number4
DOIs
Publication statusPublished - 2021 Apr

Keywords

  • Adaptive fuzzy control
  • command filtering
  • finite-Time control
  • nonlinear systems
  • state feedback
  • switched systems

ASJC Scopus subject areas

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

Fingerprint Dive into the research topics of 'Command-Filter-Based Adaptive Fuzzy Finite-Time Control for Switched Nonlinear Systems Using State-Dependent Switching Method'. Together they form a unique fingerprint.

Cite this