| 基于微粒群算法的非线性系统建模方法研究 |
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| 引用本文： | 邵雷,雷虎民,刘代军,崔颢.基于微粒群算法的非线性系统建模方法研究[J].控制与决策,2009,24(1). |
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| 作者姓名： | 邵雷 雷虎民 刘代军 崔颢 |
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| 作者单位： | 1. 空军工程大学导弹学院,陕西三原,713800
2. 空空导弹研究院空面所,河南洛阳,471009 |
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| 基金项目： | 航空基础科学基金，总装备部预研项目 |
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| 摘 要： | 针对非线性系统多模型自适应控制中的模型覆盖问题,提出一种基于微粒群算法的多模型建模方法.首先,对非线性系统定义了基于混合逻辑模型的多模型描述,建立了非线性系统的混合线性多模型;然后,基于微粒群优化算法对非线性系统进行优化建模,在保证建模准确性的同时采用最少的子模型逼近非线性系统;最后,通过一个仿真算例表明了该建模方法的有效性.
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| 关 键 词： | 微粒群算法 混合逻辑模型 多模型 优化建模 非线性系统 |
Study of nonlinear system modeling based on particle swarm optimizer |
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| SHAO Lei,LEI Hu-min,LIU Dai-jun,CUI Hao.Study of nonlinear system modeling based on particle swarm optimizer[J].Control and Decision,2009,24(1). |
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| Authors: | SHAO Lei LEI Hu-min LIU Dai-jun CUI Hao |
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| Affiliation: | 1.The Missile Institute;Air Force Engineering University;Sanyuan 713800;China;2.The Air-to-ground Institute;Research Institute of Air-to-air Missile;Luoyang 471009;China. |
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| Abstract: | A particle swarm optimizer(PSO) based multiple-model modeling method is introduced to deal with the model covering problem in the multiple model adaptive control of nonlinear system.Firstly,the nonlinear system is described as a mixed logic model based multiple models.And a mixed logic linear model is constructed accordingly.Then according to the mixed logic linear model,optimal modeling is realized based on the PSO,which employs the least sub-model to approximate the nonlinear system under the condition of... |
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| Keywords: | Particle swarm optimization Mixed logical model Multiple models Optimization modeling Nonlinear system |
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