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INDIRECT CLOSED-LOOP IDENTIFICATION BY OPTIMAL INSTRUMENTAL VARIABLE METHOD

机译:最优仪器变量法间接闭环识别

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摘要

Recently, a new bias-compensating least-squares (BCLS) method was proposed for the identification of a closed-loop system with high-order controller. The major feature of this method is that it can achieve consistent parameter estimation without modelling the coloured noises acting on the system. This paper studies the connection between the BCLS method and the instrumental variable (IV) family. It is shown that the BCLS method is a kind of weighted instrumental variable (WIV) method whose results do not depend upon the order of the controller. (C) 1997 Elsevier Science Ltd. All rights reserved. [References: 6]
机译:最近,提出了一种新的偏差补偿最小二乘(BCLS)方法,用于识别具有高阶控制器的闭环系统。该方法的主要特点是,无需对作用在系统上的彩色噪声进行建模,就可以实现一致的参数估计。本文研究了BCLS方法与工具变量(IV)系列之间的联系。结果表明,BCLS方法是一种加权工具变量(WIV)方法,其结果不依赖于控制器的顺序。 (C)1997 Elsevier ScienceLtd。保留所有权利。 [参考:6]

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