Sampled-data observer-based decentralized fuzzy control for nonlinear large-scale systems

Geun Bum Koo; Jin Bae Park; Young Hoon Joo

doi:10.5370/JEET.2016.11.3.724

Sampled-data observer-based decentralized fuzzy control for nonlinear large-scale systems

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In this paper, a sampled-data observer-based decentralized fuzzy control technique is proposed for a class of nonlinear large-scale systems, which can be represented to a Takagi-Sugeno fuzzy system. The premise variable is assumed to be measurable for the design of the observer-based fuzzy controller, and the closed-loop system is obtained. Based on an exact discretized model of the closed-loop system, the stability condition is derived for the closed-loop system. Also, the stability condition is converted into the linear matrix inequality (LMI) format. Finally, an example is provided to verify the effectiveness of the proposed techniques.

Original language	English
Pages (from-to)	724-732
Number of pages	9
Journal	Journal of Electrical Engineering and Technology
Volume	11
Issue number	3
DOIs	https://doi.org/10.5370/JEET.2016.11.3.724
Publication status	Published - 2016 May

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (NRF-2015R1A2A2A05001610)

Publisher Copyright:
© The Korean Institute of Electrical Engineers.

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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Sampled-data observer-based decentralized fuzzy control for nonlinear large-scale systems

Abstract

Bibliographical note

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