Exponential synchronization of coupled memristive neural networks via pinning control |
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Authors: | Wang Guan Shen Yi and Yin Quan |
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Institution: | Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Wuhan 430074, China |
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Abstract: | This paper is concerned with the exponential synchronization problem of coupled memristive neural networks. In contrast to general neural networks, memristive neural networks exhibit state-dependent switching behaviors due to the physical properties of memristors. Under a mild topology condition, it is proved that a small fraction of controlled sub-systems can efficiently synchronize the coupled systems. The pinned subsystems are identified via a search algorithm. Moreover, the information exchange network needs not to be undirected or strongly connected. Finally, two numerical simulations are performed to verify the usefulness and effectiveness of our results. |
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Keywords: | synchronization memristor coupled neural networks pinning control |
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