| On-line Weighted Least Squares Kernel Method for Nonlinear Dynamic Modeling |
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| 引用本文： | 文香军 蔡云泽 许晓鸣. On-line Weighted Least Squares Kernel Method for Nonlinear Dynamic Modeling[J]. 东华大学学报(英文版), 2006, 23(1): 65-72 |
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| 作者姓名： | 文香军 蔡云泽 许晓鸣 |
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| 作者单位： | Department of Automation, Shanghai Jiaotong University, Shanghai 200030 |
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| 基金项目： | 国家研究发展基金;国家科技攻关项目 |
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| 摘 要： | Support vector machines （SVM） have been widely used in pattern recognition and have also drawn considerable interest in control areas. Based on rolling optimization method and on-line learning strategies, a novel approach based on weighted least squares support vector machines （WLS-SVM） is proposed for nonlinear dynamic modeling. The good robust property of the novel approach enhances the generalization ability of kernel method-based modeling and some experimental results are presented to illustrate the feasibility of the proposed method.
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| 关 键 词： | 支持向量机 非线性时变系统 框格窗 动态模拟 |
| 收稿时间： | 2004-12-29 |
On-line Weighted Least Squares Kernel Method for Nonlinear Dynamic Modeling |
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| WEN Xiang-jun,CAI Yun-ze,XU Xiao-ming. On-line Weighted Least Squares Kernel Method for Nonlinear Dynamic Modeling[J]. Journal of Donghua University, 2006, 23(1): 65-72 |
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| Authors: | WEN Xiang-jun CAI Yun-ze XU Xiao-ming |
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| Abstract: | Support vector machines (SVM) have been widely used in pattern recognition and have also drawn considerable interest in control areas. Based on rolling optimization method and on-line learning strategies, a novel approach based on weighted least squares support vector machines (WLS-SVM) is proposed for nonlinear dynamic modeling. The good robust property of the novel approach enhances the generalization ability of kernel method-based modeling and some experimental results are presented to illustrate the feasibility of the proposed method. |
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| Keywords: | SVM WLS-SVM nonlinear time-variant system sliding window |
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