Intelligent digital redesign for nonlinear interconnected systems using decentralized fuzzy control

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this paper, a novel intelligent digital redesign (IDR) technique is proposed for the nonlinear interconnected systems which can be represented by a Takagi-Sugeno (T-S) fuzzy model. The IDR technique is to convert a pre-designed analog controller into an equivalent digital one. To develop this method, the discretized models of the analog and digital closed-loop system with the decentralized controller are presented, respectively. Using these discretized models, the digital decentralized control gain is obtained to minimize the norm between the state variables of the analog and digital closed-loop systems and stabilize the digital closed-loop system. Its sufficient conditions are 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)420-428
Number of pages9
JournalJournal of Electrical Engineering and Technology
Volume7
Issue number3
DOIs
Publication statusPublished - 2012 Jan 1

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Decentralized control
Fuzzy control
Closed loop systems
Large scale systems
Controllers
Linear matrix inequalities

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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Intelligent digital redesign for nonlinear interconnected systems using decentralized fuzzy control. / Koo, Geun Bum; Park, Jin Bae; Joo, Young Hoon.

In: Journal of Electrical Engineering and Technology, Vol. 7, No. 3, 01.01.2012, p. 420-428.

Research output: Contribution to journalArticle

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