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In this paper, the synchronization problem for neural networks with stochastic perturbation is studied with intermittent control via adaptive aperiodicity. Under the framework of stochastic theory and Lyapunov stability method, we develop some techniques of intermittent control with adaptive aperiodicity to achieve the synchronization of a class of neural networks, modeled by stochastic systems. Some...
We study the control of a first-order continuous-time chaotic vector system with delay. With and without parameter uncertainties are discussed respectively. A system consisting of two cellular equations is taken as a simulation example.
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