LMI condition for sampled-data fuzzy control of nonlinear systems

Geun Bum Koo; Jin Bae Park; Young Hoon Joo

doi:10.1049/el.2014.3669

LMI condition for sampled-data fuzzy control of nonlinear systems

Geun Bum Koo, Jin Bae Park, Young Hoon Joo

Department of Electrical and Electronic Engineering

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

12 Citations (Scopus)

Abstract

A novel linear matrix inequality (LMI) condition for the stability of the sampled-data fuzzy control system based on the Takagi-Sugeno fuzzy model is presented. Using the novel Lyapunov functional, the relaxed stability condition is presented for the sampled-data fuzzy control and represented in the LMI format. A simulation example is provided to verify the effectiveness of the proposed technique.

Original language	English
Pages (from-to)	29-31
Number of pages	3
Journal	Electronics Letters
Volume	51
Issue number	1
DOIs	https://doi.org/10.1049/el.2014.3669
Publication status	Published - 2015 Jan 8

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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abstract = "A novel linear matrix inequality (LMI) condition for the stability of the sampled-data fuzzy control system based on the Takagi-Sugeno fuzzy model is presented. Using the novel Lyapunov functional, the relaxed stability condition is presented for the sampled-data fuzzy control and represented in the LMI format. A simulation example is provided to verify the effectiveness of the proposed technique.",

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N2 - A novel linear matrix inequality (LMI) condition for the stability of the sampled-data fuzzy control system based on the Takagi-Sugeno fuzzy model is presented. Using the novel Lyapunov functional, the relaxed stability condition is presented for the sampled-data fuzzy control and represented in the LMI format. A simulation example is provided to verify the effectiveness of the proposed technique.

AB - A novel linear matrix inequality (LMI) condition for the stability of the sampled-data fuzzy control system based on the Takagi-Sugeno fuzzy model is presented. Using the novel Lyapunov functional, the relaxed stability condition is presented for the sampled-data fuzzy control and represented in the LMI format. A simulation example is provided to verify the effectiveness of the proposed technique.

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LMI condition for sampled-data fuzzy control of nonlinear systems

Abstract

All Science Journal Classification (ASJC) codes

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