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
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;
Conference_Titel :
Automation and Logistics (ICAL), 2011 IEEE International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-0301-0
Electronic_ISBN :
2161-8151
DOI :
10.1109/ICAL.2011.6024749
