最优实验设计与Laplacian正则化的WNN的非线性预测控制 |
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引用本文: | 任世锦王高峰,李新玉,杨茂云徐桂云.最优实验设计与Laplacian正则化的WNN的非线性预测控制[J].数据采集与处理,2016,31(5):927-940. |
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作者姓名: | 任世锦王高峰 李新玉 杨茂云徐桂云 |
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作者单位: | 1.江苏师范大学计算机科学与技术学院, 徐州, 221116; 2.浙江大学工业控制国家重点实验室,杭州, 310027; 3.中国矿业大学机电工程学院, 徐州, 221114 |
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摘 要: |
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关 键 词: | 小波神经网络 扩展卡尔曼滤波 预测控制 Laplacian正则化 满意模糊聚类 |
Nonlinear Predictive Control of WNN Using Optimal Experimental Design and Laplacian Regularization |
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Affiliation: | 1.College of Computer Science& Technology, Jiangsu Normal
University, Xuzhou, 221116, China; 2.National Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, 310027, China; 3.School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, 221114, China |
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Abstract: | |
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Keywords: | wavelet neural networks (WNN) extended Kalman filter predictive control Laplacian regularization satisfactory fuzzy clustering |
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