Synchronization of non-identical chaotic delayed fuzzy cellular neural networks based on sliding mode control |
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Authors: | Qintao Gan Rui Xu Pinghua Yang |
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Institution: | Department of Basic Science, Shijiazhuang Mechanical Engineering College, Shijiazhuang 050003, PR China |
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Abstract: | -In this paper, we investigate the synchronization problems of chaotic fuzzy cellular neural networks with time-varying delays. To overcome the difficulty that complete synchronization between non-identical chaotic neural networks cannot be achieved only by utilizing output feedback control, we use a sliding mode control approach to study the synchronization of non-identical chaotic fuzzy cellular neural networks with time-varying delays, where the parameters and activation functions are mismatched. This research demonstrates the effectiveness of application in secure communication. Numerical simulations are carried out to illustrate the main results. |
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Keywords: | Synchronization Fuzzy cellular neural networks Lyapunov-Krasovskii functional Sliding mode control |
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