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This paper deals with the synchronization problem of delayed chaotic neural networks with stochastic disturbances using periodically intermittent control. Lyapunov stability theory and free-weighting matrix method are utilized to establish stochastic synchronization criteria for designing intermittent control law, which guarantees that the synchronization error system is exponentially stable in the...
This paper studies the robust stability and passivity of delayed impulsive neural networks with polytopic type uncertainties and Markovian jumping parameters. Based on Lyapunov stability theory and a descriptor system approach, some sufficient conditions in form of linear matrix inequalities are derived. An illustrated numerical example is provided to demonstrate the effectiveness of the proposed...
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