Skip to main content

Research Repository

Advanced Search

A comprehensive expectation identification framework for multirate time-delayed systems

Chen, Jing; Gao, Jie; Liu, Yanjun; Wang, Cheng; Zhu, Quanmin

A comprehensive expectation identification framework for multirate time-delayed systems Thumbnail


Authors

Jing Chen

Jie Gao

Yanjun Liu

Cheng Wang

Profile Image

Quan Zhu Quan.Zhu@uwe.ac.uk
Professor in Control Systems



Abstract

The expectation maximization (EM) algorithm has been extensively used to solve system identification problems with hidden variables. It needs to calculate a derivative equation and perform a matrix inversion in the EM-M step. The equations related to the EM algorithm may be unsolvable for some complex nonlinear systems, and the matrix inversion has heavy computational costs for large-scale systems. This paper provides two expectation based algorithms with the aim of constructing a comprehensive expectation framework concerning different kinds of time-delayed systems: (1) for a small-scale linear system, the classical EM algorithm can quickly obtain the parameter and time-delay estimates; (2) for a complex nonlinear system with low order, the proposed expectation gradient descent (EGD) algorithm can avoid derivative function calculation; (3) for a large-scale system, the proposed expectation multi-direction (EMD) algorithm does not require eigenvalue calculation and has less computational costs. These two algorithms are developed based on the gradient descent and multi-direction methods. Under such an expectation framework, different kinds of models are identified on a case-by-case basis. The convergence analysis and simulation examples show effectiveness of the algorithms.

Journal Article Type Article
Acceptance Date Jul 25, 2022
Online Publication Date Jul 28, 2022
Publication Date May 1, 2023
Deposit Date May 23, 2023
Publicly Available Date May 24, 2023
Journal IEEE Transactions on Industrial Informatics
Print ISSN 1551-3203
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
Volume 19
Issue 5
Pages 7011-7021
DOI https://doi.org/10.1109/TII.2022.3194656
Keywords Comprehensive expectation framework, gradient descent (GD) method, maximization method, multidirection (MD) method, time-delayed system
Public URL https://uwe-repository.worktribe.com/output/10800871
Publisher URL https://ieeexplore.ieee.org/document/9844294

Files





You might also like



Downloadable Citations