Sampled-Data Adaptive Output Feedback Fuzzy Stabilization for Switched Nonlinear Systems with Asynchronous Switching

Shi Li, Choon Ki Ahn, Zhengrong Xiang

Research output: Contribution to journalArticlepeer-review

213 Citations (Scopus)

Abstract

This paper considers the problem of sampled-data adaptive output feedback fuzzy stabilization for switched uncertain nonlinear systems associated with asynchronous switching. A state observer is designed to estimate the unmeasured states and fuzzy logic systems are employed to deal with the unknown nonlinear terms. Sampled-data controller and novel switched adaptive laws are constructed based on the recursive design method and an average dwell time constraint is given to ensure that the closed-loop system is stable. The proposed scheme is employed in a mass-spring-damper system to demonstrate its effectiveness.

Original languageEnglish
Article number8537990
Pages (from-to)200-205
Number of pages6
JournalIEEE Transactions on Fuzzy Systems
Volume27
Issue number1
DOIs
Publication statusPublished - 2019 Jan

Bibliographical note

Funding Information:
Manuscript received September 14, 2018; revised November 5, 2018; accepted November 9, 2018. Date of publication November 16, 2018; date of current version December 29, 2018. This work was supported by the National Natural Science Foundation of China (61873128 and 61673219). (Corresponding authors: Zhengrong Xiang and Choon Ki Ahn.) S. Li and Z. Xiang are with the School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China (e-mail:, lishilln@163.com; xiangzr@njust.edu.cn).

Publisher Copyright:
© 1993-2012 IEEE.

Keywords

  • Adaptive fuzzy stabilization
  • asynchronous switching
  • nonlinear systems
  • sampled-data control
  • switched systems

ASJC Scopus subject areas

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

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