Model predictive control for periodic systems via dynamic output feedback scheme

Author

Qiu-Xia Chen ; De-Feng He ; Hua Huang

Author_Institution

Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China

fYear

2013

fDate

25-27 May 2013

Firstpage

744

Lastpage

748

Abstract

This paper presents a new model predictive control (MPC) scheme for linear constrained discrete-time periodic systems. In each period, a dynamic output feedback control law is computed via convex optimization problem that minimizes an upper bound on an infinite horizon cost function subject to input constraints. Then, an algorithm is provided and the sufficient conditions are obtained to grantee stability of the closed-loop system are obtained in terms of linear matrix inequalities (LMIs). Finally, the simulation results illustrate the effectiveness of the proposed results.

Keywords

closed loop systems; convex programming; discrete time systems; feedback; linear matrix inequalities; periodic control; predictive control; stability; time-varying systems; LMI; closed-loop system; convex optimization problem; dynamic output feedback scheme; infinite horizon cost function; input constraints; linear constrained discrete-time periodic systems; linear matrix inequalities; model predictive control scheme; stability; Magnetic materials; Optimization; Output feedback; Photonic crystals; Predictive control; Stability analysis; Upper bound; Dynamic Output Feedback; Linear Matrix Inequality; Model Predictive Control; Periodic System;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (CCDC), 2013 25th Chinese

Conference_Location

Guiyang

Print_ISBN

978-1-4673-5533-9

Type

conf

DOI

10.1109/CCDC.2013.6561021

Filename

6561021