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