Title :
A sophisticated RMPC design for LPV systems based on the mixed multi-step feedback control
Author :
Pengyuan, Zheng ; Dewei, Li ; Yugeng, Xi ; Xiaoli, Li
Author_Institution :
College of Automation Engineering, Shanghai University of Electric Power, Shanghai Engineering Research Center of Intelligent Management and Control for Power Process, Shanghai 200090, P.R. China
Abstract :
This paper studies a sophisticated robust model predictive control(RMPC) design for linear parameter varying (LPV) systems with the varying parameter unmeasurable. Based on a mixed multi-step feedback control, a sophisticated control design which utilizes both multi-step control sets and parameter-dependent feedback control is developed to introduce more freedom and thus reduces the conservativeness. The proposed method achieves good control performance with guaranteed robust and stability properties, which is verified by simulation examples.
Keywords :
Algorithm design and analysis; Feedback control; Optimization; Predictive control; Predictive models; Robustness; Upper bound; Linear matrix inequalities; Linear parameter varying systems; Mixed multi-step feedback control; Parameter-dependent feedback control; Robust model predictive control;
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
DOI :
10.1109/ChiCC.2015.7260274
