| Synchronization Scheme for Uncertain Chaotic Systems via RBF Neural Network |
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| 作者姓名： | 陈谋 姜长生 吴庆宪 陈文华 |
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| 作者单位： | [1]Automation College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016 [2]Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough, Leicestershire LE11 3TU, UK |
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| 基金项目： | Supported by the National Natural Science Foundation of China under Grant No 90405011. |
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| 摘 要： | A sliding mode adaptive synchronization controller is presented with a neural network of radial basis function （RBF） for two chaotic systems. The uncertainty of the synchronization error system is approximated by the RBF neural network. The synchronization controller is given based on the output of the RBF neural network. The proposed controller can make the synchronization error convergent to zero in 5s and can overcome disruption of the uncertainty of the system and the exterior disturbance. Finally, an example is given to illustrate the effectiveness of the proposed synchronization control method.
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| 关 键 词： | 控制器 不确定混沌系统 自动化控制 同步性 |
| 收稿时间： | 2006-9-18 |
| 修稿时间： | 2006-09-18 |
Synchronization Scheme for Uncertain Chaotic Systems via RBF Neural Network |
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| CHEN Mou,JIANG Chang-Sheng,WU Qing-Xian,CHEN Wen-Hua.Synchronization Scheme for Uncertain Chaotic Systems via RBF Neural Network[J].Chinese Physics Letters,2007,24(4):890-893. |
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| Authors: | CHEN Mou JIANG Chang-Sheng WU Qing-Xian CHEN Wen-Hua |
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| Affiliation: | 1 Automation College, Nanjing University of Aeronautics and Astronautics, Nanjing 210016 ;2Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough Leicestershire LE11 3TU, UK |
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| Abstract: | A sliding mode adaptive synchronization controller is presented with a neural network of radial basis function (RBF) for two chaotic systems. The uncertainty of the synchronization error system is approximated by the RBF neural network. The synchronization controller is given based on the output of the RBF neural network. The proposed controller can make the synchronization error convergent to zero in 5s and can overcome disruption of the uncertainty of the system and the exterior disturbance. Finally, an example is given to illustrate the effectiveness of the proposed synchronization control method. |
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| Keywords: | 05 45 Pq 05 45 Gg |
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