| 基于LSSVM的MIMO系统快速在线辨识方法 |
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| 引用本文： | 周欣然,滕召胜,赵新闻.基于LSSVM的MIMO系统快速在线辨识方法[J].计算机应用,2009,29(8):2281-2284. |
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| 作者姓名： | 周欣然 滕召胜 赵新闻 |
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| 作者单位： | 1. 中南大学 信息科学与工程学院；湖南大学 电气与信息工程学院2. |
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| 基金项目： | 国家自然科学基金，国家技术创新项目 |
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| 摘 要： | 针对时变非线性多输入多输出(MIMO)系统在线辨识较困难的问题，提出一种基于最小二乘支持向量机(LSSVM)的快速在线辨识方法。介绍了现有LSSVM增量式和在线式学习算法，并为它引入了一些加速实现策略，得到LSSVM快速在线式学习算法。将MIMO系统分解为多个多输入单输出(MISO)子系统，对每一个MISO利用一个LSSVM在线建模；这些LSSVM执行快速在线式学习算法。数字仿真显示该方法建模速度快，模型预测精度高。
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| 关 键 词： | 最小二乘支持向量机 在线系统辨识 时变非线性系统 多输入多输出系统 Least Squares Support Vector Machines （LSSVM） online system identification time-varying nonlinear system Multi-Input Multi-Output (MIMO) system |
| 收稿时间： | 2009-02-13 |
| 修稿时间： | 2009-03-31 |
Fast online system identification for MIMO using LSSVM |
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| ZHOU Xin-ran,TENG Zhao-sheng,ZHAO Xin-wen.Fast online system identification for MIMO using LSSVM[J].journal of Computer Applications,2009,29(8):2281-2284. |
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| Authors: | ZHOU Xin-ran TENG Zhao-sheng ZHAO Xin-wen |
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| Affiliation: | 1. College of Electrical and Information Engineering;Hunan University;Changsha Hunan 410082;China;2. School of Information Science and Engineering;Central South University;Changsha Hunan 410075;3. School of Physical Science and Technology;Changsha Hunan 410083;China |
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| Abstract: | To tackle the difficulty in identifying time-varying nonlinear Multi-Input Multi-Output (MIMO) system online, a fast online system identification approach based on Least Squares Support Vector Machine (LSSVM) was proposed. The existing LSSVM incremental and online learning algorithms were introduced, and some speeding up implementing tactics were designed and adopted in the algorithm; consequently, a fast online LSSVM learning algorithm was obtained. MIMO system was decomposed into multiple Multi-Input Sing... |
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| Keywords: | online system identification time-varying nonlinear system Multi-Input Multi-Output (MIMO) system Least Squares Support Vector Machine (LSSVM) |
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