Bi-loop Matrix Forgetting Factor-Based Coupled Recursive Least Squares Algorithm for Identification of Multivariable Plants

Journal of control, automation and electrical systems

article

Mirhoseini, Parvin¹  Tabatabaei, Mohammad¹ 

[1] Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University

关键词: System identification;    Recursive least squares algorithm;    Coupled least squares algorithm;    Multivariable systems;    Time-varying parameters;    Matrix forgetting factor;   

DOI  :  10.1007/s40313-018-0370-2

学科分类：自动化工程

来源: Springer

【 摘 要 】

In this study, a new parameter estimation method based on coupled least squares method for recursive estimation of time-varying parameters in multivariable systems is presented. The bi-loop matrix forgetting factor-based coupled recursive least squares method is employed for estimation of time-varying parameters in which the forgetting factor for each parameter is adjusted according to its variance. This means that the forgetting factors of slow-varying and fast-varying parameters are calculated according to their variances, automatically. The simulation results demonstrate the advantage of the proposed method for estimation of parameters with different variation rates (including slow-varying or fast-varying parameters) in comparison with ordinary coupled least squares method.

【 授权许可】

CC BY