| 基于改进Elman神经网络的非线性预测控制 |
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| 引用本文： | 范燕,申东日,陈义俊,邵奎星. 基于改进Elman神经网络的非线性预测控制[J]. 河南科技大学学报(自然科学版), 2007, 28(1): 41-45 |
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| 作者姓名： | 范燕 申东日 陈义俊 邵奎星 |
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| 作者单位： | 辽宁石油化工大学,信息与控制工程学院,辽宁,抚顺,113001;辽宁石油化工大学,信息与控制工程学院,辽宁,抚顺,113001;辽宁石油化工大学,信息与控制工程学院,辽宁,抚顺,113001;辽宁石油化工大学,信息与控制工程学院,辽宁,抚顺,113001 |
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| 摘 要： | 为了提高非线性预测控制中预测模型的精度,提出一种基于递归神经网络建模的预测控制方案.采用改进Elman神经网络在线建立预测模型,用递推最小二乘法在线修改神经网络权值,并引入误差补偿环节,从而达到改善预测模型精度的目的,使控制系统的控制性能得到提高.仿真实验表明了该方法的有效性.
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| 关 键 词： | Elman神经网络 在线训练 误差补偿 非线性预测控制 |
| 文章编号： | 1672-6871（2007）01-0041-05 |
| 修稿时间： | 2006-07-21 |
Nonlinear Model Predictive Control Based on Improved Elman Neural Network |
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| FAN Yan,SHEN Dong-Ri,CHEN Yi-Jun,SHAO Qui-Xing. Nonlinear Model Predictive Control Based on Improved Elman Neural Network[J]. Journal of Henan University of Science & Technology:Natural Science, 2007, 28(1): 41-45 |
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| Authors: | FAN Yan SHEN Dong-Ri CHEN Yi-Jun SHAO Qui-Xing |
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| Abstract: | A predictive control method is proposed based on the neural network due to improving the accuracy of the nonlinear model predictive model .The improved neural network- Elman is used to build the predictive model of the process online.The method used to correct the NN weight value is the recursive least square.The tache of error compensation is introduced to the neural network,it meets the accuracy of the predictive model and the control performance of the control systems is improved.The results of simulation show the effectiveness of the control algorithm. |
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| Keywords: | Elman neural network Online training Error compensation Nonlinear model predictive control |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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