Global exponential synchronization of delayed fuzzy cellular neural networks with impulsive effects |
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| Authors: | Xiaomei Feng Fengqin Zhang Wenjuan Wang |
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| Affiliation: | 1. School of Mathematics and Statistics, Southwest University, Chongqing 400715, PR China;2. School of Mathematics, Southeast University, Nanjing Jiangsu 210096, PR China;3. Yonsei Frontier Lab, Yonsei University, Seoul 03722, PR Korea;1. School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, PR China;2. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, PR China;3. School of Information Science and Engineering, Chengdu University, Chengdu, 610106, PR China;1. School of Mathematical Sciences, Qufu Normal University, Qufu Shandong, 273165, People’s Republic of China;2. School of Science, Jiangnan University, Wuxi Jiangsu, 214122, People’s Republic of China;1. School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, PR China;2. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, PR China;3. School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, PR China |
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| Abstract: | In this paper, synchronization of delayed fuzzy cellular neural networks has been considered. By construction a suitable Lyapunov functional and utilizing some inequality techniques, some sufficient conditions for synchronization of such a system are obtained. Simulation results are given to justify the theoretical analysis in this paper. |
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