| 基于神经网络仿射非线性系统滑模自适应控制 |
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| 引用本文： | 胡海旭,罗文广.基于神经网络仿射非线性系统滑模自适应控制[J].电子科技,2011,24(4):12-14,23. |
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| 作者姓名： | 胡海旭 罗文广 |
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| 作者单位： | (广西工学院 电子信息与控制工程系,广西 柳州 545006) |
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| 基金项目： | 广西自然科学基金资助项目 |
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| 摘 要： | 研究了一类单输入单输出仿射非线性系统的自适应控制问题.采用反馈线性化方法设计控制器,用神经网络逼近系统中的未知非线性函数,并在神经网络权值的自适应律中引入权值误差的概念,以改善系统的动态性能.同时采用滑模控制方法设计补偿器,提高了系统的鲁棒性.理论分析及仿真结果表明,所设计的控制器,不仅能解决该系统的轨迹跟踪控制问题,...
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| 关 键 词： | 神经网络 滑模控制 反馈线性化 鲁棒性 仿射非线性系统 |
Adaptive Sliding Mode Control for a Class of Affine Nonlinear System Based on Neural Networks |
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| Hu Haixu,Luo Wenguang.Adaptive Sliding Mode Control for a Class of Affine Nonlinear System Based on Neural Networks[J].Electronic Science and Technology,2011,24(4):12-14,23. |
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| Authors: | Hu Haixu Luo Wenguang |
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| Affiliation: | (Department of Electronic and Control Engineering,Guangxi University of Technology,Liuzhou 545006,China) |
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| Abstract: | This paper studies the adaptive control of a class of SISO affine nonlinear system.Here it designs a controller using the feed linear linearization method.The neural networks are used to approximate the unknown nonlinear functions.In order to improve the quality of this system,the approximation errors of the neural networks are introduced to the adaptive law.Theoretica1 analysis and simulations indicate that the strategy can not only solve the tracking problem,but also guarantee the stability of the systems. |
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| Keywords: | neural networks sliding mode control feed linearization robustness affine nonlinear system |
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