Title
Parameter Identification of Time-delayed Nonlinear Systems: An Integrated Method with Adaptive Noise Correction
Abstract
This paper proposes a novel method called the adaptive-noise-correction integrated parameter identification (ANCPI) for time-delayed nonlinear systems. Compared with the existing de-noising techniques, the significance of the proposed method is the use of the system itself to correct the noise-polluted components so that the accuracy of parameter identification is enhanced. To achieve the goal of adaptive noise correction, this study starts from the case of periodic response and then parameterizes the noise correction as the coefficient correction of harmonic basis. In this way, the parameter identification integrated with noise correction can be performed as the parameter optimization of the error function. For the convenience of application, a user-friendly program package is further provided and a detailed tutorial is presented in the supplementary material.
Year
DOI
Venue
2019
10.1016/j.jfranklin.2019.03.023
Journal of the Franklin Institute
Field
DocType
Volume
Error function,Nonlinear system,Control theory,Harmonic,Periodic graph (geometry),Mathematics
Journal
356
Issue
ISSN
Citations 
11
0016-0032
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Xiaoxu Zhang100.68
Jinchen Ji243.45
Jian Xu322455.55