Synchronization of chaotic neural networks with time delay in the leakage term and parametric uncertainties based on sampled-data control |
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| Authors: | Qintao Gan Yuhua Liang |
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| Institution: | 1. School of Automation, Huazhong University of Science and Technology, Wuhan, PR China;2. Science Program, Texas A & M University at Qatar, Doha 23874, Qatar;3. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, PR China;1. School of Mathematics Sciences, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China;2. Data Recovery Key Laboratory of Sichuan Province, College of Mathematics and Information Science, Neijiang Normal University, Neijiang 641100, PR China |
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| Abstract: | This paper considers the synchronization problem of coupled chaotic neural networks with time delay in the leakage term and parametric uncertainties using sampled-data control. Motivated by the achievements from both the stability of neural networks with time delay in the leakage term and the synchronization issue of coupled chaotic neural networks with parametric uncertainties, Lyapunov stability theory combining with linear matrix inequalities is employed to derive sufficient criteria ensuring the coupled chaotic neural networks to be completely synchronous. This paper presents an illustrative example and uses simulated results of this example to show the feasibility and effectiveness of the proposed sampled-data controller. |
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