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In this paper, based on differential inequality technique, some sufficient conditions for global exponential stability of neural networks with time-varying delays are presented. A comparison of the present criteria with the previous criteria is made. Moreover, an example is given to show the effectiveness of the obtained results.
In this paper, we investigate a class of Chua's system. Conditions are derived which ensure the existence of an equilibrium point and the asymptotically stable for state trajectories of the Chua's system. The analysis in the paper employs results from the theory of differential equations with discontinuous right-hand side as introduced by Filippov. Simulation results are further presented to show...
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