DocumentCode :
2505363
Title :
Predictive functional control on Kautz with genetic optimization
Author :
Xu, Mingzhu ; Li, Shenshan ; Xu, Zhiping
Author_Institution :
Coll. of Mech. Eng., Shijiazhuang Railway Inst., Shijiazhuang
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
5589
Lastpage :
5593
Abstract :
An adaptive steady predictive functional control algorithm using the orthogonal Kautz function base has been designed in this paper. Performance of the closed-loop system is discussed, and the stability condition is given based on Lyapunov stability theory. A new improved parameter compensating algorithm depended on genetic algorithm is introduced. The simulations verified the given strategy.
Keywords :
Lyapunov methods; adaptive control; closed loop systems; genetic algorithms; predictive control; Lyapunov stability theory; adaptive steady predictive functional control algorithm; closed-loop system; genetic algorithm; genetic optimization; orthogonal Kautz function base; parameter compensating algorithm; Design automation; Design optimization; Educational institutions; Genetic algorithms; Intelligent control; Lyapunov method; Mechanical engineering; Predictive models; Programmable control; Rail transportation; Kautz function; Lyapunov stability; genetic optimization; predictive functional control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4594550
Filename :
4594550
Link To Document :
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