Intelligent digital redesign for nonlinear systems using a guaranteed cost control method

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

In this paper, a novel intelligent digital redesign (IDR) technique using the guaranteed cost control method is proposed for nonlinear systems which can be represented by a Takagi-Sugeno (T-S) fuzzy model. The IDR technique, which is one of the sampled-data fuzzy controller design methods, guarantees not only the stability condition of the sampled-data closed-loop system with the sampleddata fuzzy controller and the state-matching error is presented. By using the concept of the guaranteed cost control method, sufficient conditions are obtained for both minimization of the state-matching error and stabilization of the sampled-data closed-loop system and derived in terms of linear matrix inequalities (LMIs). Finally, a numerical example is provided to verify the effectiveness of the proposed technique.

Original languageEnglish
Pages (from-to)1075-1083
Number of pages9
JournalInternational Journal of Control, Automation and Systems
Volume11
Issue number6
DOIs
Publication statusPublished - 2013 Dec 1

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Closed loop systems
Nonlinear systems
Controllers
Linear matrix inequalities
Costs
Stabilization

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications

Cite this

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Intelligent digital redesign for nonlinear systems using a guaranteed cost control method. / Koo, Geun Bum; Park, Jin Bae; Joo, Young Hoon.

In: International Journal of Control, Automation and Systems, Vol. 11, No. 6, 01.12.2013, p. 1075-1083.

Research output: Contribution to journalArticle

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