| 基于神经网络预报的动态矩阵预测控制 |
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| 引用本文： | 禹柳飞,王辉.基于神经网络预报的动态矩阵预测控制[J].茂名学院学报,2003,13(1):23-26. |
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| 作者姓名： | 禹柳飞 王辉 |
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| 作者单位： | 湖南大学电气与信息工程学院,湖南,长沙,410082 |
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| 摘 要： | 提出了一种基于径向基神经网络预报的动态矩阵预测控制新算法，在该算法中，先用RBF神经网络辨识对象模型，同时预测对象的未来输出，然后用动态矩阵控制算法进行滚动优化和反馈校正。该方法解决了非线性、时变对象难以建模的问题，仿真结果验证了这一新型算法的可行性。
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| 关 键 词： | 神经网络预报 动态矩阵 预测控制 径向基函数 模型预测 |
| 文章编号： | 1671-6590(2003)01-0023-04 |
| 修稿时间： | 2002年10月10 |
Dynamic Matrix Predictive Control Based on Neural Networks Prediction |
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| YU Liu-fei,WANG Hui.Dynamic Matrix Predictive Control Based on Neural Networks Prediction[J].Journal of Maoming College,2003,13(1):23-26. |
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| Authors: | YU Liu-fei WANG Hui |
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| Abstract: | The paper proposes a new DMC algorithm using radial basis function neural networks as predictive model. In this algorithm, RBF neural networks are employed to identify the model of the controlled plant and produce predictive output. Receding horizon optimization and revising feedback are used in DMC algorithm. In this method, the problem that nonlinear and time-variety plant are difficult to build model is solved. Simulation results demonstrate the feasibility of the proposed algorithm. |
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| Keywords: | radial basis function neural network predictive control dynamic matrix control model prediction |
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