| 基于动态结构自适应神经网络的不确定时滞系统跟踪控制 |
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| 引用本文： | 张 敏,胡寿松. 基于动态结构自适应神经网络的不确定时滞系统跟踪控制[J]. 控制理论与应用, 2008, 25(5): 970-972 |
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| 作者姓名： | 张 敏 胡寿松 |
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| 作者单位： | 南京航空航天大学,自动化学院,江苏,南京,210016;南京航空航天大学,自动化学院,江苏,南京,210016 |
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| 基金项目： | 国家自然科学基金，航空科研项目 |
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| 摘 要： | 针对一类不确定时滞非线性系统,提出一种自适应跟踪控制器.首先采用Lyapunov-Krasovskii函数设计时滞补偿器,并构造其中的参数调节规律.再针对建模误筹及小确定非线性,引入动态结构自适应神经网络,其隐层神经元个数可以随着跟踪误差的增大而在线增加,以提高逼近精度.最后,用仿真示例表明本文所提方法是有效的.
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| 关 键 词： | 跟踪控制 小确定时滞 自适应神经网络 动态结构神经网络 |
| 收稿时间： | 2006-09-12 |
| 修稿时间： | 2007-10-31 |
Tracking control for uncertain time-delay systems based on dynamic structure adaptive neural network |
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| ZHANG Min and HU Shou-song. Tracking control for uncertain time-delay systems based on dynamic structure adaptive neural network[J]. Control Theory & Applications, 2008, 25(5): 970-972 |
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| Authors: | ZHANG Min and HU Shou-song |
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| Affiliation: | College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China;College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing Jiangsu 210016, China |
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| Abstract: | For nonlinear systems with uncertain time delays, an adaptive tracking controller is presented. We use the Lyapunov-Krasovski function to design the time-delay compensator and construct its coefficient updating rules. A dynamic structure adaptive neural network is adopted to eliminate the unknown nonlinearities and modeling error. The simulation shows that the presented method is effective. |
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| Keywords: | tracking control uncertain time delay adaptive neural network dynamic structure neural network |
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