Synchronization of chaotic neural networks with mixed time delays |
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| Affiliation: | 1. Department of Computer Science and Technology, Tongji University, Shanghai 200092, China;2. The Key Laboratory of Embedded System and Service Computing, Ministry of Education, China;3. Department of Mathematics, Tongji University, Shanghai 200092, China;1. Research Center for Complex Systems and Network Sciences, Southeast University, Nanjing 210096, China;2. Department of Mathematics, Southeast University, Nanjing 210096, China;3. Department of Mathematics, King Abdulaziz University, Jeddah 21589, Saudi Arabia |
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| Abstract: | ![]()
In this paper, we investigate the synchronization problems of chaotic neural networks with mixed time delays. We first establish the sufficient conditions for synchronization of identical chaotic neural networks with mixed time delays via linear output feedback control. To overcome the difficulty that complete synchronization between nonidentical chaotic neural networks cannot be achieved only by utilizing output feedback control, we use a sliding mode control approach to study the synchronization of nonidentical chaotic neural networks with mixed time delays, where the parameters and functions are mismatched. Numerical simulations are carried out to illustrate the main results. |
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