DocumentCode
3382396
Title
Laguerre function based multiple model predictive control for nonlinear system
Author
Xiaoli Li ; Xiang Yu ; Yao Wang ; Shangjun Wang
Author_Institution
Dept. of Autom., Univ. of Sci. & Technol. Beijing, Beijing, China
fYear
2011
fDate
15-16 Aug. 2011
Firstpage
389
Lastpage
393
Abstract
Multiple linear models based laguerre function are provided to cover the uncertainty of a nonlinear discrete time system. Based on these models, a multiple model predictive controller is given. By using an index switching function, the transient response can be improved due to the switching among different models. From the result of simulation, the effectiveness of the controller proposed in this paper can be tested.
Keywords
discrete time systems; linear systems; nonlinear control systems; predictive control; stochastic processes; Laguerre function; index switching function; multiple linear models; multiple model predictive control; nonlinear discrete time system; Adaptation models; Adaptive control; Computational modeling; Control systems; Mathematical model; Nonlinear systems; Predictive models; Laguerre function; Multiple model; Predictive control;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics (ICAL), 2011 IEEE International Conference on
Conference_Location
Chongqing
ISSN
2161-8151
Print_ISBN
978-1-4577-0301-0
Electronic_ISBN
2161-8151
Type
conf
DOI
10.1109/ICAL.2011.6024749
Filename
6024749
Link To Document