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Article type: Research Article
Authors: Song, Min Kook | Park, Jin Bae | Joo, Young Hoon
Affiliations: Department of Electrical and Electronic Engineering, Yonsei University, Shinchon-Dong, Seodaemum-Gu, Seoul, Korea | Department of Control and Robotics Engineering, Kunsan National University, Kunsan, Chonbuk, Korea
Note: [] Corresponding author. Jin Bae Park, Department of Electrical and Electronic Engineering, Yonsei University, Shinchon-Dong, Seodaemum-Gu, Seoul, Korea. E-mails: [email protected] (Jin Bae Park); [email protected] (Min Kook Song); [email protected] (Young Hoon Joo).
Abstract: In this paper, a new type of Lyapunov–Krasovskii functional method is constructed to study delay-range-dependent stability analysis and stabilization problems for Takagi–Sugeno (T–S) fuzzy neutral systems with time-varying delay. The present results may improve the existing ones due to a method to estimate the upper bound of the derivative of Lyapunov-Krasovskii functional without ignoring some useful terms and the introduction of additional terms into the proposed Lyapunov-Krasovskii functional, which take into account the range of delay. On the basis of a novel Lyapunov–Krasovskii functionals, which includes the information of the range of dealy, delay-range-dependent stability criteria are established in terms of linear matrix inequalities (LMIs). Moreover, the stability criteria are also used to design a stabilizing fuzzy controller. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.
Keywords: Linear matrix inequality (LMI), fuzzy neutral systems, time varying delays
DOI: 10.3233/IFS-120722
Journal: Journal of Intelligent & Fuzzy Systems, vol. 26, no. 1, pp. 143-152, 2014
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