Asymptotic Stability of Delay-difference Control System of Hopfield Neural Networks via Matrix Inequalities and Applications
نویسنده
چکیده
In this paper, we derive a sufficient condition for asymptotic stability of the zero solution of delay-difference control system of Hopfield neural networks in terms of certain matrix inequalities by using a discrete version of the Lyapunov second method. The result is applied to obtain new asymptotic stability condition for some class of delay-difference control system such as delay-difference control system of Hopfield neural networks with multiple delays in terms of certain matrix inequalities. Our results can be well suited for computational purposes.
منابع مشابه
Asymptotic Stability of Delay-Difference Control System of Hopfield Neural Networks via Matrix Inequalities
In this paper, we derive a sufficient condition for asymptotic stability of the zero solution of delay-difference control system of Hopfield neural networks in terms of certain matrix inequalities by using a discrete version of the Lyapunov second method.
متن کاملAsymptotic Stability of Time Varying Delay-difference Control System with Time-varying Delay of Hopfield Neural Networks via Matrix Inequalities*
Mathematics Subject Classification 2000: 39A11, 93B52, 92B20 General Terms: Asymptotic Stability, Lyapunov Second Method, Hopfield Neural Networks Additional
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