Global robust asymptotic stability analysis of BAM neural networks with time delay and impulse: An LMI approach |
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Authors: | Qinghua Zhou Li Wan |
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Institution: | a Department of Mathematics, Zhaoqing University, Zhaoqing 526061, China b Department of Mathematics and Physics, Wuhan University of Science and Engineering, Wuhan 430073, China |
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Abstract: | The global robust asymptotic stability of bi-directional associative memory (BAM) neural networks with constant or time-varying delays and impulse is studied. An approach combining the Lyapunov-Krasovskii functional with the linear matrix inequality (LMI) is taken to study the problem. Some a criteria for the global robust asymptotic stability, which gives information on the delay-dependent property, are derived. Some illustrative examples are given to demonstrate the effectiveness of the obtained results. |
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Keywords: | Bi-directional associative memory neural networks Impulse Robust asymptotic stability Linear matrix inequality Lyapunov-Krasovskii functional |
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