Journal
INFORMATION SCIENCES
Volume 372, Issue -, Pages 1-15Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2016.08.026
Keywords
Stability analysis; Stabilization; Fuzzy systems; Time-varying delays; Lyapunov method
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Funding
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education, Science and Technology [2011-0009273]
- Human Resources Development of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) grant - Korea government Ministry of Trade, Industry Energy [20144030200450]
- National Research Foundation of Korea [2011-0009273] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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This paper is concerned with the problem of stability and stabilization for Takagi-Sugeno (T-S) fuzzy systems with time-varying delays. By constructing a suitable Lyapunov-Krasovskii functional, sufficient conditions for ensuring the asymptotic stability and stabilization of the concerned fuzzy systems have been derived within the framework of linear matrix inequalities (LMIs). The advantage and effectiveness of the proposed criteria will be shown through the comparison of maximum delay bounds with some results obtained by recently published papers via four numerical examples. (C) 2016 Elsevier Inc. All rights reserved.
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