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Passive learning and input-to-state stability of switched Hopfield neural networks with time-delay. (English) Zbl 1211.93109
Summary: We propose a new passive weight learning law for switched Hopfield neural networks with time-delay under parametric uncertainty. Based on the proposed passive learning law, some new stability results, such as asymptotical stability, Input-to-State Stability (ISS), and Bounded Input-Bounded Output (BIBO) stability, are presented. An existence condition for the passive weight learning law of switched Hopfield neural networks is expressed in terms of strict Linear Matrix Inequality (LMI). Finally, numerical examples are provided to illustrate our results.
MSC:
93D21Adaptive or robust stabilization
68T05Learning and adaptive systems
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