Delay-Dependent Global Robust Asymptotic Stability Analysis Of Bam Neural Networks With Time Delay: An Lmi Approach
AbstractThe global robust asymptotic stability of bi-directional associative memory (BAM) neural networks with constant or time-varying delays 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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Bibliographic InfoArticle provided by World Scientific Publishing Co. Pte. Ltd. in its journal New Mathematics and Natural Computation.
Volume (Year): 03 (2007)
Issue (Month): 01 ()
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Web page: http://www.worldscinet.com/nmnc/nmnc.shtml
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