| 一个延时混沌神经元系统的耦合同步 |
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| 引用本文： | 彭军, 廖晓峰, 吴中福. 一个延时混沌神经元系统的耦合同步[J]. 电子与信息学报, 2003, 25(1): 123-127. |
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| 作者姓名： | 彭军 廖晓峰 吴中福 |
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| 作者单位： | 1. 重庆大学计算机科学与工程学院,重庆,400044
2. 重庆工业高等专科学校计算机系,重庆,400050 |
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| 摘 要： | 该文研究了一个延时混沌神经元系统的耦合同步问题.基于Krasovskii-Lyapunov理论,讨论了同步的渐近稳定性,并给出了系统同步的一个充分条件,计算机数值仿真结果表明,文中讨论的系统具有良好的同步效果和鲁棒性。
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| 关 键 词： | 混沌 延时神经元 同步 渐近稳定性 |
| 收稿时间： | 2001-06-27 |
| 修稿时间： | 2001-06-27 |
Chaotic synchronization of a coupled delayed neuron system |
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| Peng Jun, Liao Xiaofeng, Wu Zhongfu. Chaotic synchronization of a coupled delayed neuron system[J]. Journal of Electronics & Information Technology, 2003, 25(1): 123-127. |
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| Authors: | Peng Jun Liao Xiaofeng Wu Zhongfu |
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| Affiliation: | Faculty of Computer Science & Engineering Chongqing University Chongqing 400044 China;Dept. of Computer Chongqing Polytechnic College Chongqing 400050 China |
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| Abstract: | In this paper, the synchronization of a coupled delayed neuron chaotic system is investigated. The asymptotic stability of the synchronization is discussed based on the Krasovskii-Lyapunov theory, and a sufficient condition of synchronization is obtained. The results of computer simulation show that the proposed synchronization system is an effective one, which is robust when Gaussian noise added. |
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| Keywords: | Chaos Delayed neuron Synchronization Asymptotic stability |
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