| 基于动态递归神经网络的自适应控制非线性系统研究 |
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| 引用本文： | 郝晓弘,邵辉,杨新华.基于动态递归神经网络的自适应控制非线性系统研究[J].兰州理工大学学报,2001,27(3):64-67. |
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| 作者姓名： | 郝晓弘 邵辉 杨新华 |
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| 作者单位： | 甘肃工业大学电气工程与信息工程学院, |
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| 摘 要： | 提出一种基于动态递归神经网络的自适应控制器 ,该控制器能通过自学习不断进行适应性控制 ,且结构简单 ,易于实现 .其主要特点是能够提供一个跟踪网络来辩识系统模型 ,进而确定控制器的网络参数 ,实现间接自适应神经网络控制 .经过对大量非线性系统的仿真研究 ,证明其具有良好的控制性能 .
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| 关 键 词： | 非线性系统 动态递归神经网络 系统辩识 间接自适应控制 |
| 文章编号： | 1000-5889(2001)03-0064-04 |
| 修稿时间： | 2000年7月13日 |
Investigation of nonlinear system based on adaptive control with dynamic recurrent neural network |
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| HAO Xiao hong,SHAO Hui,YANG Xin hua.Investigation of nonlinear system based on adaptive control with dynamic recurrent neural network[J].Journal of Lanzhou University of Technology,2001,27(3):64-67. |
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| Authors: | HAO Xiao hong SHAO Hui YANG Xin hua |
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| Abstract: | An adaptive controller with dynamic recurrent neural network is presented, which can continuously perform adaptive control by means of learning strategy and, meantime, is of simple configuration and easy realization of the control. Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control. It is proved through a large amount of nonlinear system simulation that this controller possesses a fine control performance. |
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| Keywords: | nonlinear system dynamic recurrent neural network system identification indirect adaptive control |
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