Title :
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
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;
Conference_Titel :
Information Acquisition, 2006 IEEE International Conference on
Conference_Location :
Weihai
Print_ISBN :
1-4244-0528-9
Electronic_ISBN :
1-4244-0529-7
DOI :
10.1109/ICIA.2006.305950
