| 基于神经网络的一类非仿射非线性系统自适应控制 |
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| 引用本文： | 李树荣,杨青,郭淑会.基于神经网络的一类非仿射非线性系统自适应控制[J].系统科学与数学,2007,27(2):161-169. |
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| 作者姓名： | 李树荣 杨青 郭淑会 |
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| 作者单位： | 石油大学(华东)信息与控制工程学院,东营,257061 |
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| 基金项目： | 国家重点基础研究发展计划(973计划) |
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| 摘 要： | 针对一类带有不确定性的非仿射非线性系统,利用Backstepping设计方法,设计了一种神经网络自适应控制器．该控制器可以实现跟踪特性．基于Lyapunov函数,得出稳定的权学习算法．并利用Lyapunov稳定性理论证明了闭环系统是一致最终有界的．仿真结果表明,这种控制器具有良好的鲁棒性和跟踪特性．
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| 关 键 词： | 神经网络 自适应控制 非线性系统 |
| 修稿时间： | 2005年3月23日 |
Neural Network Based Adaptive Control for a Class of Nonaffine Nonliear Systems |
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| Li Shurong,Yang Qing,Guo Shuhui.Neural Network Based Adaptive Control for a Class of Nonaffine Nonliear Systems[J].Journal of Systems Science and Mathematical Sciences,2007,27(2):161-169. |
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| Authors: | Li Shurong Yang Qing Guo Shuhui |
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| Institution: | College of Information and Engineering, University of Petroleum (East China), Dongying 257061 |
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| Abstract: | An adaptive neural network control scheme is designed for a class of nonaffine nonlinear systems with uncertainty.The designing method is based on backstepping scheme. The tracking performance can be realized.A stable weight learning algorithm is obtained by using a Lyapunov function.It is proven that the closed-loop system is uniformly ultimately bounded(UUB)by using Lyapunov theory.Simulation results verify the good:tracking perfor- mance and robustness of the newly designed controller for non-affine systems. |
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| Keywords: | Backstepping |
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