NDLI: Filtering-based iterative identification for multivariable systems

Content Provider	IET Digital Library
Author	Wang, Yanjiao Ding, Feng
Abstract	This study applies the filtering technique to system identification to study the data filtering-based parameter estimation methods for multivariable systems, which are corrupted by correlated noise – an autoregressive moving average process. To solve the difficulty that the identification model contains the unmeasurable variables and noise terms in the information matrix, the authors present a hierarchical gradient-based iterative (HGI) algorithm by using the hierarchical identification principle. To improve the convergence rate, they apply the filtering technique to derive a filtering-based HGI algorithm and a filtering-based hierarchical least squares-based iterative (HLSI) algorithm. The simulation examples indicate that the filtering-based HLSI algorithm has the highest computational efficiency among these three algorithms.
Starting Page	894
Ending Page	902
Page Count	9
ISSN	17518644
Volume Number	10
e-ISSN	17518652
Issue Number	Issue 8, May (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/10/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2015.1195
Journal	IET Control Theory & Applications
Publisher Date	2016-05-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Autoregressive Moving Average Process Autoregressive Moving Average Processes Correlated Noise Data Filtering-based Parameter Estimation Method Filtering Method in Signal Processing Filtering Theory Filtering-based HGI Algorithm Filtering-based Hierarchical Least Squares-based Iterative Algorithm Filtering-based HLSI Algorithm Filtering-based Iterative Identification Gradient Method HGI Algorithm Hierarchical Gradient-based Iterative Algorithm Hierarchical Identification Principle Identification Model Information Matrix Interpolation And Function Approximation Iterative Method Least Squares Approximation Linear Algebra Modelling And Identification Multivariable System Numerical Analysis Parameter Estimation Signal Processing Theory Simulation Statistics System Identification
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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