Novel delay-dependent stability criteria for neural networks with interval time-varying delay |
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Authors: | Wang Jian-An |
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Affiliation: | School of Electronics Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China |
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Abstract: | The problem of delay-dependent asymptotic stability for neural networks with interval time-varying delay is investigated. Based on the idea of delay decomposition method, a new type of Lyapunov-Krasovskii functional is constructed. Several novel delay-dependent stability criteria are presented in terms of linear matrix inequality by using the Jensen integral inequality and a new convex combination technique. Numerical examples are given to demonstrate that the proposed method is effective and less conservative. |
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Keywords: | neural networks interval time-varying delay delay-dependent stability convex combination linear matrix inequality |
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