DocumentCode :
3428726
Title :
Identification of PWA models via data compression based on l1 optimization
Author :
Maruta, Ichiro ; Sugie, Toshiharu
Author_Institution :
Dept. of Syst. Sci., Kyoto Univ., Kyoto, Japan
fYear :
2011
fDate :
12-15 Dec. 2011
Firstpage :
2800
Lastpage :
2805
Abstract :
In this paper, a new identification method for piecewise affine (PWA) models is introduced. The method is based on the data-based representation of PWA maps and the data compression with ℓ1 optimization technique, which enable the method to deal with large data sets. This method can be applied to a wide range of modeling problems, and an example with a DC motor system is shown in this paper to show the usability of the method.
Keywords :
control system synthesis; optimisation; piecewise linear techniques; ℓ1 optimization; DC motor system; PWA model identification; data compression; data-based representation; piecewise affine model; Complexity theory; DC motors; Data models; Extrapolation; Interpolation; Neodymium; Optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
Conference_Location :
Orlando, FL
ISSN :
0743-1546
Print_ISBN :
978-1-61284-800-6
Electronic_ISBN :
0743-1546
Type :
conf
DOI :
10.1109/CDC.2011.6160572
Filename :
6160572
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=3428726
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