| 基于动态补偿神经网络误差修正的广义预测控制 |
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| 引用本文： | 隋晓梅,赵章荣.基于动态补偿神经网络误差修正的广义预测控制[J].华北科技学院学报,2005,2(1):96-98,121. |
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| 作者姓名： | 隋晓梅 赵章荣 |
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| 作者单位： | [1]华北科技学院电子信息工程系教师 [2]华北科技学院电子信息工程系，北京东燕郊101601 |
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| 摘 要： | 本文采用权值可在线调整的动态补偿神经网络(动态BP网络)对模型预测误差进行拟合，从而显著提高了基于线性模型的非线性广义预测(GPC)的预测精度，增强了算法的鲁棒性。仿真实验证明了该算法的有效。
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| 关 键 词： | 非线性广义预测 动态BP网络 预测精度 |
| 文章编号： | 1672-7169(2005)01-0096-03 |
| 修稿时间： | 2004年12月25 |
Generalized predictive control based on error correction using dynamically compensating neural network |
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| SUI Xiao-mei,ZHAO Zhang-rong.Generalized predictive control based on error correction using dynamically compensating neural network[J].Journal of North China Institute of Science and Technology,2005,2(1):96-98,121. |
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| Authors: | SUI Xiao-mei ZHAO Zhang-rong |
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| Abstract: | a Generalized predictive control algorithm based on error correction using dynamically compensating neural network is proposed to approximate the modeling error. So it improves the predictive accuracy of GPC based on linear model and buildups systems robustness. The simulation results show the algorithm is effective for nonlinear system. |
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| Keywords: | nonlinear GPC dynamically BP network predictive accuracy |
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