Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2009.5410295
Title: A general framework for least-squares based identification of time-varying system using multiple models
Authors: Xiang, C. 
Lai, C.Y.
Lee, T.H. 
Narendra, K.S.
Issue Date: 2009
Source: Xiang, C., Lai, C.Y., Lee, T.H., Narendra, K.S. (2009). A general framework for least-squares based identification of time-varying system using multiple models. 2009 IEEE International Conference on Control and Automation, ICCA 2009 : 212-219. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2009.5410295
Abstract: In this paper, a general framework for the identification of discrete-time time-varying system is proposed. To make the problem tractable, the time variation is approximated by a piecewise constant function assuming finite number N of unknown values. The algorithms proposed would be applicable for switched system with linear and nonlinear subsystems. It also facilitates the derivation of both offline and online parameter identification algorithms. Extensive simulation studies show that our algorithm can indeed provide accurate estimates of the plant parameters even in noisy cases. A preliminary convergence analysis is also available, which we would further develop in the near future. ©2009 IEEE.
Source Title: 2009 IEEE International Conference on Control and Automation, ICCA 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/51077
ISBN: 9781424447060
DOI: 10.1109/ICCA.2009.5410295
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

9
checked on Dec 6, 2017

WEB OF SCIENCETM
Citations

2
checked on Nov 20, 2017

Page view(s)

32
checked on Dec 10, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.