Robust stability condition for neutral-type neural networks with discrete and distributed delays
نویسنده
چکیده
The robust exponential stability is investigated for a class of uncertain neutral-type neural networks with discrete and distributed time-varying delays. By introducing a new vector Lyapunov-Krasovskii functional, using Jensen integral inequality, free-weighting matrix method and linear matrix inequality techniques, delay-dependent sufficient conditions are obtained for exponential stability of considered neural networks, which generalize some previous results in the literature. Four examples are given to show the less conservativeness of the obtained results.
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