Title: Partially coupled gradient-based iterative identification methods for multivariable output-error moving average systems

Authors: Feifei Wang; Feng Ding

Addresses: School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China ' School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China

Abstract: This paper focuses on the identification problems of multivariable output-error moving average systems and develops a partially coupled gradient-based iterative algorithm to estimate the parameters of the systems. The key is combining the hierarchical identification principle and the coupling identification concept to decompose a multivariable system into m subsystems (m is the number of outputs), and then to identify the subsystems one by one. Compared with the gradient-based iterative algorithm, the partially coupled gradient-based iterative algorithm requires less computational efforts. The simulation results show that the proposed algorithms are effective.

Keywords: parameter estimation; iterative identification; hierarchical identification principle; coupling identification; multivariable systems; multivariable output-error moving average; simulation.

DOI: 10.1504/IJMIC.2016.081139

International Journal of Modelling, Identification and Control, 2016 Vol.26 No.4, pp.293 - 302

Received: 28 Nov 2015
Accepted: 11 Jan 2016
Published online: 24 Dec 2016 *

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