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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

PARAMETER ESTIMATION FOR LINEAR CONTINUOUS REGRESSIVE SYSTEMS VIA BLOCK PULSE FUNCTIONS AND ITS APPLICATION

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【作者】 赵明旺

【Author】 Zhao ding-wang (Wuhan Iron and Steel University Hubei)

【机构】 武汉钢铁学院

【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】 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.

【基金】 冶金工业部理论基金
  • 【文献出处】 数值计算与计算机应用 ,JOURNAL OF UNMERICAL METHODS AND COMPUTER APPLICATIONS , 编辑部邮箱 ,1994年03期
  • 【分类号】O241
  • 【被引频次】3
  • 【下载频次】45
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