| 基于支持向量机的预测控制算法 |
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| 引用本文： | 宋海滨,刘云帼.基于支持向量机的预测控制算法[J].兵工自动化,2006,25(4):59-61. |
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| 作者姓名： | 宋海滨 刘云帼 |
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| 作者单位： | 防空兵指挥学院,研究生17队,河南,郑州,450052;重庆警备区,教导大队,重庆,404000 |
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| 摘 要： | 采用基于支持向量机的模型预测控制法来实现非线性模型预测控制.控制器设计采用改进MOUSE(Modifled Univariate Search)方法来解决非线性约束优化问题.其具体实现通过计算种群适应值函数、检查每个解是否满足约束条件、选取一定数量产生子代的种群计算相应适应值,更新设计变量等步骤完成.
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| 关 键 词： | 支持向量机 非线性系统 模型预测 搜索寻优 子代 种群 |
| 文章编号： | 1006-1576（2006）04-0059-03 |
| 收稿时间： | 2005-08-15 |
| 修稿时间： | 2005-10-07 |
Prediction and Control Method Based on Support Vector Machine |
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| SONG Hai-bin,LIU Yun-guo.Prediction and Control Method Based on Support Vector Machine[J].Ordnance Industry Automation,2006,25(4):59-61. |
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| Authors: | SONG Hai-bin LIU Yun-guo |
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| Affiliation: | 1. No. 17 Brigade of graduate, Air Defense Forces Command Academy, Zhengzhou 450052, China; 2. Teaching Brigade, Chongqing Garrison Command, Chongqing 404000, China |
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| Abstract: | The model prediction and control method based on support vector machine is adopted to realize the prediction and control of non-linear model. The MOUSE (modifled univariate search) method was adopted by controller design to resolve optimum problems of non-linear restriction. The specific application can be achieved as follows: calculating adaptive value functions of population; checking every resolution whether it meets the restriction or not; choosing some populations which contained filial generation to achieve the corresponding adaptive values; renewing the design variables. |
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| Keywords: | SVM (Support Vector Machine) Non-linear system Model estimate Optimum search Filial generation Population |
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