An improved digital redesign for sampled-data fuzzy control systems

Fuzzy Lyapunov function approach

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This paper proposes an improved digital redesign (DR) technique for sampled-data fuzzy controllers in nonlinear systems, based on a Takagi–Sugeno (T–S) fuzzy model. To improve the performance of the DR technique, two methodologies are used: a state-matching error cost function, and a continuous-time fuzzy Lyapunov function. Using these two methodologies, a novel DR technique is proposed to guarantee both the stability and state-matching conditions of the sampled-data fuzzy control system. Further, the proposed DR technique is represented as an optimal problem using the linear matrix inequality (LMI) format. Finally, some simulation examples are provided to verify the effectiveness of the proposed technique in comparison with previous techniques.

Original languageEnglish
Pages (from-to)71-86
Number of pages16
JournalInformation Sciences
Volume406-407
DOIs
Publication statusPublished - 2017 Sep 1

Fingerprint

Digital Redesign
Sampled-data Control
Fuzzy Function
Lyapunov functions
Fuzzy control
Fuzzy Control
Linear matrix inequalities
Fuzzy Systems
Cost functions
Lyapunov Function
Nonlinear systems
Control System
Control systems
Controllers
Takagi-Sugeno Fuzzy Model
Methodology
Error function
Fuzzy Controller
Cost Function
Matrix Inequality

All Science Journal Classification (ASJC) codes

  • Software
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications
  • Information Systems and Management
  • Artificial Intelligence

Cite this

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An improved digital redesign for sampled-data fuzzy control systems : Fuzzy Lyapunov function approach. / Koo, Geun Bum; Park, Jin Bae; Joo, Young Hoon.

In: Information Sciences, Vol. 406-407, 01.09.2017, p. 71-86.

Research output: Contribution to journalArticle

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