Adaptive Predictive Functional Control with Stochastic Search

Author

Xu, Mingzhu ; Li, Xiaoli ; Liu, Heping ; Hao, Yanshuang

Author_Institution

Inf. Eng. Sch., Univ. of Sci. & Technol. of China, Beijing

fYear

2006

fDate

20-23 Aug. 2006

Firstpage

1354

Lastpage

1358

Abstract

In this paper, an adaptive predictive functional control algorithm based on Laguerre model is presented. The performance of closed-loop system is discussed and stability condition is given based on Lyapunov stability theory. Three stochastic search optimized algorithms are given to compensating the control system. Their optimize effect is compared. Proposed method in this paper reduced online computation and presented strong robustness. It´s validity has been verified by simulation

Keywords

Lyapunov methods; adaptive control; closed loop systems; compensation; optimisation; predictive control; search problems; stability; stochastic processes; Laguerre model; Lyapunov stability theory; adaptive predictive functional control algorithm; closed-loop system; control system compensation; stochastic search optimized algorithm; Adaptive control; Control systems; Lyapunov method; Prediction algorithms; Predictive models; Programmable control; Robustness; Stability; Stochastic processes; Stochastic systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Acquisition, 2006 IEEE International Conference on

Conference_Location

Weihai

Print_ISBN

1-4244-0528-9

Electronic_ISBN

1-4244-0529-7

Type

conf

DOI

10.1109/ICIA.2006.305950

Filename

4097883