Title :
Multi-model predictive functional control for a nonlinear system
Author :
Lei Zhou ; Shumin Fei
Author_Institution :
Sch. of Autom., Southeast Univ., Nanjing, China
Abstract :
Most of the systems in reality are nonlinear and time-varying and there are many uncertainties under the working conditions. As a result, it is difficult to obtain satisfactory results by using the traditional predictive control method based on a single model. This paper presents a new method - predictive functional control based on multiple models, in which each model set up the local controller and local controller has a weighting and composition of the object controller. The simulation results show that multi-model predictive functional control is superior to a single model control for dynamic quality control system.
Keywords :
nonlinear control systems; predictive control; time-varying systems; dynamic quality control system; local controller; multimodel predictive functional control; nonlinear system; object controller; time varying systems; Prediction algorithms; Predictive control; Predictive models; Simulation; Switches; multi-model; nonlinear; predictive functional control;
Conference_Titel :
Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on
Conference_Location :
Harbin, Heilongjiang, China
Print_ISBN :
978-1-61284-087-1
DOI :
10.1109/EMEIT.2011.6023307
