Iterative identification of output error model for industrial processes with time delay subject to colored noise

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• 作者：Shijian Dong¹ ; Tao Liu¹ ; ^{liurouter@ieee.org" class="auth_mail" title="E-mail the corresponding author} ; Mingzhong Li² ; Yi Cao³
• 关键词：Time delay system ; Output error model ; Recursive least-squares ; Instrumental variable ; Variable forgetting factor
• 刊名：Chinese Journal of Chemical Engineering
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：23
• 期：12
• 页码：2005-2012
• 全文大小：389 K

文摘

To deal with colored noise and unexpected load disturbance in identification of industrial processes with time delay, a bias-eliminated iterative least-squares (ILS) identification method is proposed in this paper to estimate the output error model parameters and time delay simultaneously. An extended observation vector is constructed to establish an ILS identification algorithm. Moreover, a variable forgetting factor is introduced to enhance the convergence rate of parameter estimation. For consistent estimation, an instrumental variable method is given to deal with the colored noise. The convergence and upper bound error of parameter estimation are analyzed. Two illustrative examples are used to show the effectiveness and merits of the proposed method.