Title
Parameter identification of nonlinear multirate time-delay system with uncertain output delays:
Abstract
The joint parameter and time-delay estimation problems for a class of nonlinear multirate time-delay system with uncertain output delays are addressed in this paper. The practical process typically has time-delay properties and the process data are often multirate, sampled with output data inevitably corrupted by uncertain delays. The linear parameter varying (LPV) finite impulse response (FIR) multirate time-delay model is initially built to describe the considered system. The problems of over-parameterization and the existence of both continuous model parameters and discrete time-delays have made the conventional maximum likelihood difficult to solve the considered problems. In order to handle these problems, the joint parameter and time-delay estimation for the LPV FIR multirate time-delay model are formulated in the expectation-maximization scheme, and the algorithm to estimate the model parameters and time-delays is derived, simultaneously based on multirate process data. The efficacy of the proposed method is verified through a numerical simulation and a practical chemical plant.
Year
DOI
Venue
2018
10.1177/0142331217733326
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
Keywords
DocType
Volume
System identification,nonlinear time-delay model,multirate data,the continuous stirred tank reactor system,expectation-maximization algorithm
Journal
40.0
Issue
ISSN
Citations 
12
0142-3312
0
PageRank 
References 
Authors
0.34
14
4
Name
Order
Citations
PageRank
xianqiang yang15910.79
Weili Xiong2285.92
Zeyuan Wang300.34
Xin Liu424438.07