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基于方块脉冲函数逼近的线性连续回归模型的参数估计及其应用 被引量:3

PARAMETER ESTIMATION FOR LINEAR CONTINUOUS REGRESSIVE SYSTEMS VIA BLOCK PULSE FUNCTIONS AND ITS APPLICATION
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摘要 基于方块脉冲函数逼近的线性连续回归模型的参数估计及其应用赵明旺(武汉钢铁学院)PARAMETERESTIMATIONFORLINEARCONTINUOUSREGRESSIVESYSTEMSVIABLOCKPULSEFUNCTIONSANDITSAPP... Abstract Parameter estimation for linear continuous regressive systems is studied via Legendre polynomials approximation, and a least-squares algorithm is presented.Then, the application of this method to parameter estimation for dynamic systems in systems and control is discussed. A correlative analysis of the BPF approximating values of the continuous Wiener process is made and the biased property of the least-squares method for stochastic continuous dynamic systems is pointed out. Finally, the instrumental variable method for consistent estimation and three methods for choosing instrumental variable systems are proposed. computer simulations show that these methods are effective and practical.
作者 赵明旺
机构地区 武汉钢铁学院
出处 《数值计算与计算机应用》 CSCD 北大核心 1994年第3期231-236,共6页 Journal on Numerical Methods and Computer Applications
基金 冶金工业部理论基金
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  • 1曾广达,方波脉冲函数及其应用,1986年

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