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一类非线性广义随机系统的降阶Kalman滤波器
引用本文:石莹,田英明,田行伟.一类非线性广义随机系统的降阶Kalman滤波器[J].黑龙江水专学报,2011,2(1):83-87.
作者姓名:石莹  田英明  田行伟
作者单位:黑龙江大学,电子工程学院自动化系,哈尔滨,150080
基金项目:教育部科学技术研究重点项目,黑龙江省普通高校青年骨干支持计划项目
摘    要:研究了一类非线性广义系统的状态估计问题.利用Taylor级数展开的方法将其转化为线性广义系统;再利用奇异值分解,对线性化后的系统进行降阶,转化为等价的正常线性系统;最后基于Kalman滤波估值理论,得到非线性广义系统的Kalman滤波器.通过数值仿真例子,验证了所提方法的有效性.

关 键 词:非线性广义系统  状态估计  奇异值分解  Taylor级数展开  Kalman滤波

Reduced-order Kalman Filters for a Class of Nonlinear Singular Stochastic Systems
SHI Ying,TIAN Ying-ming,TIAN Hang-wei.Reduced-order Kalman Filters for a Class of Nonlinear Singular Stochastic Systems[J].Journal of Heilongjiang Hydraulic Engineering College,2011,2(1):83-87.
Authors:SHI Ying  TIAN Ying-ming  TIAN Hang-wei
Affiliation:(Department of Automation,School of Electronic Engineering,Heilongjiang University,Harbin 150080,China)
Abstract:The state estimation problem is considered for a class of nonlinear singular systems.The linearized model was obtained by using Taylor's series expansion method;based on singular value decomposition,it was changed into a order-reduced equivalent normal system.By classical Kalman filtering theory,the state Kalman estimators for the nonlinear singular system was obtained.A numerical example shows the effectiveness of the proposed algorithm.
Keywords:nonlinear singular system  state estimation  singular value decomposition  Taylor series expansion  Kalman filtering
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