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Global robust dissipativity for integro-differential systems modeling neural networks with delays. (English) Zbl 1141.93392
Summary: The global robust dissipativity of integro-differential systems modeling neural networks with time-varying delays are studied. Proper Lyapunov functionals and some analytic techniques are employed to derive the sufficient conditions under which the networks proposed are the global robust dissipativity. The results are shown to improve the previous global dissipativity results derived in the literature. Some examples are given to illustrate the correctness of our results.
MSC:
93D05Lyapunov and other classical stabilities of control systems
93C30Control systems governed by other functional relations
92B20General theory of neural networks (mathematical biology)