| 基于神经网络的非线性学习控制研究 |
| |
| 引用本文： | 倪先锋, 陈宗基, 周绥平. 基于神经网络的非线性学习控制研究. 自动化学报, 1993, 19(3): 307-315. |
| |
| 作者姓名： | 倪先锋 陈宗基 周绥平 |
| |
| 作者单位： | 1.北京航空航天大学自动控制系,北京 |
| |
| 摘 要： | 本文将多层前向传递神经网络应用于非线性系统控制,通过对神经网络的训练,实现非线性系统的状态反馈控制。本文还介绍了用神经网络控制一类非线性系统的学习控制算法,该算法对对象的数学模型依赖程度较低,为非线性系统的学习控制提供了一种有效的研究方法。另外还给出了该算法应用于几个不同非线性对象的学习控制仿真结果。
|
| 关 键 词： | 神经网络 BP算法 非线性控制 学习控制 |
| 收稿时间： | 1991-05-06 |
Learning Control of Nonlinear Systems Based on Neural Networks |
| |
| Ni Xianfeng, Chen Zongji, Zhou Shuiping. Learning Control of Nonlinear Systems Based on Neural Networks. ACTA AUTOMATICA SINICA, 1993, 19(3): 307-315. |
| |
| Authors: | Ni Xianfeng Chen Zongji Zhou Shuiping |
| |
| Affiliation: | Beijing University of Acronautics and Astronautics Beijing 100083 |
| |
| Abstract: | A back-propagation neural network is applied to learning control of nonlinear control system, By. By training the neural networks using back-propagation algorithm, optimal state feedback control of nonlinear systems can be realized. This paper presents a novel learning control mechanism for a class of nonlinear systems, which does not depend the model of nonlinear control system. Simulation results show that the new scheme is efficient for large unknown nonlinearity. |
| |
| Keywords: | Neural network back-propagation nonlinear control learning control. |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《自动化学报》浏览原始摘要信息 |
|
点击此处可从《自动化学报》下载全文 |
|
