NDLI: Improved stabilization results of fuzzy systems under variable sampling

Content Provider	IEEE Xplore Digital Library
Author	Zhanlei Shang Jun Wang Yiqun Deng
Copyright Year	2011
Description	Author affiliation: Department of Basic Courses, Xuzhou Air Force College, Xuzhou 221000, China (Jun Wang) \|\| School of Computer Science and communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, China (Zhanlei Shang) \|\| College of Information Engineering, Information Engineering University of PLA, Zhengzhou 450002, China (Yiqun Deng)
Abstract	This paper investigates the problem of stabilization for sampled-data fuzzy systems under variable sampling. By eliminating redundant variables, and combining a convex combination technique with a delay decomposition method to deal with nonlinear time-varying coefficients derived from the Jensen's integral inequality, less conservative and less complex stabilization criteria are formulated as linear matrix inequalities (LMIs). An illustrative example is given to show the effectiveness and the improvement of the proposed method.
Starting Page	3493
Ending Page	3497
File Size	208223
Page Count	5
File Format	PDF
ISBN	9781424487370
e-ISBN	9781424487387
DOI	10.1109/CCDC.2011.5968722
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sampled-data control fuzzy control Symmetric matrices Takagi-Sugeno (T-S) fuzzy systems Stability criteria Performance analysis Linear matrix inequalities linear matrix inequalities (LMIs) Delay Fuzzy systems
Content Type	Text
Resource Type	Article

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