Journal
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
Volume 41, Issue 6, Pages 1522-1530Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMCB.2011.2157140
Keywords
Exponential stability; linear matrix inequality (LMI); neural networks; switched systems; time-varying delay
Categories
Funding
- National Creative Research Groups Science Foundation of China [60721062]
- National High Technology Research and Development Program of China, 863 Program [2006AA04 Z182]
- National Natural Science Foundation of P.R. China [60736021]
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In this paper, the problem of stability analysis is investigated for switched neural networks with time-varying delay using linear matrix inequality (LMI) approach. By taking advantage of the average dwell time method, two sufficient conditions are developed to ensure the global exponential stability of the considered neural networks, which are delay-dependent and formulated by LMIs. The state decay estimate is explicitly given. Numerical examples are provided to demonstrate the effectiveness and feasibility of the proposed techniques.
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