Intelligent digital redesign for non-linear systems

Observer-based sampled-data fuzzy control approach

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

In this study, an intelligent digital redesign (IDR) technique is proposed for an observer-based sampled-data fuzzy controller of non-linear systems. By using a Takagi-Sugeno fuzzy model, the pre-designed analog and sampled-data fuzzy controllers are supposed, and these discretised closed-loop systems are obtained, respectively. Based on the IDR problem, the authors guarantee both stability and state-matching conditions. Unlike the previous techniques, the proposed IDR not only improves the state-matching performance using the state-matching error cost function, but is also derived in the strict linear matrix inequality format. In a numerical example, the effectiveness of the proposed technique and the results of the improved performance are shown.

Original languageEnglish
Pages (from-to)1-9
Number of pages9
JournalIET Control Theory and Applications
Volume10
Issue number1
DOIs
Publication statusPublished - 2016 Jan 4

Fingerprint

Digital Redesign
Sampled-data Control
Fuzzy control
Fuzzy Control
Nonlinear systems
Observer
Nonlinear Systems
Fuzzy Controller
Controllers
Linear matrix inequalities
Closed loop systems
Cost functions
Takagi-Sugeno Fuzzy Model
Error function
Closed-loop System
Cost Function
Matrix Inequality
Linear Inequalities
Analogue
Numerical Examples

All Science Journal Classification (ASJC) codes

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

Cite this

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Intelligent digital redesign for non-linear systems : Observer-based sampled-data fuzzy control approach. / Koo, Geun Bum; Park, Jin Bae; Joo, Young Hoon.

In: IET Control Theory and Applications, Vol. 10, No. 1, 04.01.2016, p. 1-9.

Research output: Contribution to journalArticle

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