| RBF-Volterra级数非线性系统建模 |
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| 引用本文： | 徐晨曦,张贤志,陈光[礻禹].RBF-Volterra级数非线性系统建模[J].系统仿真学报,2011,23(12):2588-2591. |
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| 作者姓名： | 徐晨曦 张贤志 陈光[礻禹] |
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| 作者单位： | 1. 空军雷达学院预警探测装备系,武汉,430019
2. 电子科技大学自动化工程学院,成都,610054 |
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| 摘 要： | 提出一种RBF-Volterra级数非线性系统建模方法。利用基函数多项式（BFP）完备的非线性系统逼近能力,在基函数族单一尺度和平移联动约束下,导出RBF-Volterra级数模型;RBF-Volterra级数具有＂截尾不截维＂特性,对非线性强弱变化适应能力强,且结构紧凑,数值稳定性好,能效避免维数灾难问题。实例仿真说明了该方法的有效性。
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| 关 键 词： | 非线性系统建模 基函数多项式(BFP) Volterra级数 径向基Volterra级数 |
Nonlinear System Modeling of RBF-Volterra Series |
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| XU Chen-xi,ZHANG Xian-zhi,CHEN Guang-ju.Nonlinear System Modeling of RBF-Volterra Series[J].Journal of System Simulation,2011,23(12):2588-2591. |
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| Authors: | XU Chen-xi ZHANG Xian-zhi CHEN Guang-ju |
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| Institution: | XU Chen-xi1,ZHANG Xian-zhi1,CHEN Guang-ju2(1.Dep.of Early-warning Detection Equipment of Air Force Radar Academy,Wuhan 430019,China,2.School of automatic Engineering of UESTC,Chengdu 610054,China) |
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| Abstract: | A modeling approach of nonlinear system was represented with RBF-Volterra series.Using the nicer fitting ability of basis function polynomial(BFP) for nonlinear system,RBF-Volterra series was educed with limited to same discrete values of the translation parameters of basis function.Then the advantage of RBF-Volterra series was discussed,which not only has better stability and convergence rate in parameter estimation,but also has robust capability to adapt nonlinear variety and compact structure to avoid th... |
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| Keywords: | nonlinear system modeling basis function polynomial(BFP) volterra series radial basis function Volterra series(RBFV) |
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