| 基于神经元网络的非线性系统间接自校正预测控制器 |
| |
| 引用本文： | 陈增强,袁著祉,车海平,贺江峰.基于神经元网络的非线性系统间接自校正预测控制器[J].南开大学学报,1999,32(3):53-57,154. |
| |
| 作者姓名： | 陈增强 袁著祉 车海平 贺江峰 |
| |
| 作者单位： | [1]南开大学计算机与系统科学系 [2]深圳市华为技术有限公司 |
| |
| 基金项目： | 国家863CIMS应用基础研究基金，天津市自然科学基金 |
| |
| 摘 要： | 提出了一种使用神经元网络的非线性系统间接自校正预测控制器。这一控制方法是基于两个神经元网络，一个用于动态过程的建模，另一方面用于获取控制信号。控制器的优化目标基于过程输出的向前多步预测。两个网络在线学习均采用了非线性最小二乘法。
|
| 关 键 词： | 神经元网络 非线性系统 自校正控制 预测控制 最小二乘法 |
NEURAL-NET-BASED INDIRECT SELF-TUNING PREDICTIVE CONTROL OF NONLINEAR PLANT |
| |
| Chen Zengqiang,Yuan Zhuzhi,Che Haiping,He Jiangfeng.NEURAL-NET-BASED INDIRECT SELF-TUNING PREDICTIVE CONTROL OF NONLINEAR PLANT[J].Acta Scientiarum Naturalium University Nankaiensis,1999,32(3):53-57,154. |
| |
| Authors: | Chen Zengqiang Yuan Zhuzhi Che Haiping He Jiangfeng |
| |
| Abstract: | The use of neural networks for indirect self tuning control of nonlinear plants has been proposed. The control is based upon two neural networks. One is used for modelling of dynamic plant, the other is used for obtaining control signals. The optimizing criteria for the control is based upon the multi step ahead predictions of the plant output. Nonlinear least square is utilized in the learning of the two neural networks. |
| |
| Keywords: | neural network nonlinear system self tuning control predictive control least square |
| 本文献已被 CNKI 维普 等数据库收录！ |
