Robust control for uncertain Takagi-Sugeno fuzzy systems with time-varying input delay

Ho Jae Lee, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

29 Citations (Scopus)

Abstract

A control problem of Takagi-Sugeno fuzzy systems with a time-varying input delay and norm-bounded uncertainties is addressed. The input delay is well-known in making the closed-loop stabilization difficult. A sufficient condition for the robust fuzzy-model-based stabilization is derived based on the Lyapunov-Razumikhin stability theorem, without the assumption of the variation rate on the delay. A constructive design scheme is presented in the form of the iterative convex optimization problem. The effectiveness of the proposed method is demonstrated by a numerical simulation of a nonlinear mass-spring-damper system.

Original languageEnglish
Pages (from-to)302-306
Number of pages5
JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
Volume127
Issue number2
DOIs
Publication statusPublished - 2005 Jun 1

Fingerprint

fuzzy systems
Fuzzy systems
Robust control
Stabilization
Convex optimization
stabilization
dampers
norms
Computer simulation
theorems
optimization
simulation
Uncertainty

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Information Systems
  • Instrumentation
  • Mechanical Engineering
  • Computer Science Applications

Cite this

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Robust control for uncertain Takagi-Sugeno fuzzy systems with time-varying input delay. / Lee, Ho Jae; Park, Jin Bae; Joo, Young Hoon.

In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 127, No. 2, 01.06.2005, p. 302-306.

Research output: Contribution to journalArticle

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