| 基于神经网络的离散变结构控制设计 |
| |
| 引用本文： | 宋立忠,陈少昌,姚琼荟. 基于神经网络的离散变结构控制设计[J]. 三峡大学学报(自然科学版), 2002, 24(2): 125-127 |
| |
| 作者姓名： | 宋立忠 陈少昌 姚琼荟 |
| |
| 作者单位： | 海军工程大学,电气工程系,武汉,430033 |
| |
| 摘 要： | 研究了不确定离散时间系统的变结构控制设计问题，对利用传统离散趋近律设计变结构控制时系统抖振原因进行了分析，提出了组合趋近律设计思想。针对系统不确定部分，采用神经网络进行在线学习，使变结构控制器具有自适应性。仿真结果表明所提设计方法可以提高系统鲁棒性并有效减弱抖振。
|
| 关 键 词： | 不确定离散时间系统 变结构控制 离散趋近律 神经网络 组合趋近律 自适应学习系统 |
| 文章编号： | 1007-7081(2002)02-0125-03 |
Discrete Variable Structure Control Design Based on Neural Networks |
| |
| Song Lizhong Chen Shaochang Yao Qionghui. Discrete Variable Structure Control Design Based on Neural Networks[J]. Journal of China Three Gorges University(Natural Sciences), 2002, 24(2): 125-127 |
| |
| Authors: | Song Lizhong Chen Shaochang Yao Qionghui |
| |
| Abstract: | The design of variable structure control for uncertain discrete time systems is discussed. The reason for system chattering of conventional discrete reaching law is given; and a new combined reaching law is pro-posed. A neural network is used for online identification of the system uncertainties. Simulation results show that the proposed control strategy can eliminate system chattering effectively and enable the system to have strong robustness. |
| |
| Keywords: | uncertain discrete time systems variable structure control reaching law neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
