DocumentCode
3666623
Title
Synthesis approaches of dynamic output feedback robust MPC for LPV system with unmeasurable polytopic model parametric uncertainty — Part III. Reformulation of a previous approach
Author
Baocang Ding;Yugeng Xi
Author_Institution
Department of Automation, School of Electronic and Information Engineering, Xi´an Jiaotong University, Xi´an 710049, P.R. China
fYear
2015
fDate
6/1/2015 12:00:00 AM
Firstpage
246
Lastpage
251
Abstract
For a linear parameter varying (LPV) system including unmeasurable polytopic model parametric uncertainty and polytopic disturbance, the output feedback model predictive control (MPC) is considered. This is based on a companion work, where a series of scalars, for relaxing the disturbance-related constraint handling, are integrated into the solution of dynamic output feedback control. An optimization procedure, for off-line determining the relaxation scalars, is proposed based on the norm-bounding technique. A previous approach based on the state estimator is shown to be a special case.
Keywords
"Optimization","Output feedback","Symmetric matrices","Automation","Predictive models","Estimation error"
Publisher
ieee
Conference_Titel
Cyber Technology in Automation, Control, and Intelligent Systems (CYBER), 2015 IEEE International Conference on
Print_ISBN
978-1-4799-8728-3
Type
conf
DOI
10.1109/CYBER.2015.7287943
Filename
7287943
Link To Document