Please use this identifier to cite or link to this item:
|Title:||A general framework for least-squares based identification of time-varying system using multiple models|
|Authors:||Xiang, C. |
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 6, 2017
WEB OF SCIENCETM
checked on Nov 20, 2017
checked on Dec 10, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.