DocumentCode :
1590058
Title :
A Gp-based design method for nonlinear control systems using differential flatness
Author :
Imae, Joe ; Morita, Yasuhlko ; Zhai, Gusheng ; Kobayashi, Tomoaki
Author_Institution :
Osaka Prefecture Univ., Sakai, Japan
fYear :
2010
Firstpage :
1
Lastpage :
7
Abstract :
In this paper, we propose a practical and systematic approach to the control design method for MIMO systems based on flatness theory. The proposed approach focuses on the emergent ability of genetic programming and the decoupling ability of Descusse & Moog´s algorithm. The former could generate nonlinear functions as the flat outputs, and the latter could construct dynamic controllers through the decoupling process. Some simulations are carried out to show the effectiveness of the proposed approach.
Keywords :
MIMO systems; control system synthesis; genetic algorithms; nonlinear control systems; GP-based design method; MIMO systems; decoupling process; differential flatness theory; genetic programming; nonlinear control systems; Decoupling; Differentially flat; Genetic programming; nonlinear control design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
World Automation Congress (WAC), 2010
Conference_Location :
Kobe
ISSN :
2154-4824
Print_ISBN :
978-1-4244-9673-0
Electronic_ISBN :
2154-4824
Type :
conf
Filename :
5665445
Link To Document :
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