A general reformulation of output feedback MPC for constrained LPV systems

Author

Baocang, Ding ; Xubin, Ping ; Yugeng, Xi

Author_Institution

Dept. of Autom., Xi´´an Jiaotong Univ., Xi´´an, China

fYear

2012

fDate

25-27 July 2012

Firstpage

4195

Lastpage

4200

Abstract

An improved synthesis approach of the dynamic output feedback model predictive control, which has a near-optimal solution, for the polytopic uncertainty system with bounded disturbance, is given. This paper takes advantage of the method in (Automatica (2008) pp. 258-264) to re-handle the physical constraints. Hence, there are more scalar slack variables for optimization, so that the control performance can be improved. This represents a general formulation which includes a previous work as a special case. A numerical example is given to show the effectiveness of the controller.

Keywords

control system synthesis; feedback; linear systems; numerical analysis; optimisation; predictive control; time-varying systems; uncertain systems; bounded disturbance; constrained LPV systems; dynamic output feedback model predictive control; linear parameter varying systems; output feedback MPC; polytopic uncertainty system; slack variables; synthesis approach; uncertain time-varying system; Educational institutions; Estimation error; Linear matrix inequalities; Optimization; Output feedback; Predictive control; Symmetric matrices; Degree of freedom; Model predictive control; Output feedback; Synthesis approach;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2012 31st Chinese

Conference_Location

Hefei

ISSN

1934-1768

Print_ISBN

978-1-4673-2581-3

Type

conf

Filename

6390662