Fuzzy Tracking Control for Nonlinear Networked Systems

Hongyi Li, Chengwei Wu, Xingjian Jing, Ligang Wu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

96 Citations (Scopus)

Abstract

This paper studies the observer-based tracking control problem for discrete-time nonlinear networked control systems with parameter uncertainties and unmeasurable state variables. A network-induced constraint, i.e., the intermittent measurement loss, is considered in the controller design. The uncertain nonlinear system is described by an interval type-2 (IT2) fuzzy Takagi-Sugeno model, in which the lower and the upper membership functions with corresponding coefficients are used to capture and express uncertainties existing in the system. A premise-variables-independent IT2 fuzzy observer is constructed to estimate the unmeasurable state variables, and then a novel IT2 fuzzy tracking controller is designed. Furthermore, sufficient criteria are established to guarantee the resulting closed-loop system to be stochastically stable. Finally, two examples are provided to show the effectiveness of the proposed approach.
Original languageEnglish
Pages (from-to)2020-2031
Number of pages12
JournalIEEE Transactions on Cybernetics
Volume47
Issue number8
DOIs
Publication statusPublished - 1 Aug 2017

Keywords

  • Interval type-2 (IT2) fuzzy model
  • nonlinear networked control systems (NCSs)
  • observer-based tracking control

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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