Output Feedback Model Predictive Control for Linear Systems with Input Constraints

Author

Sun, Dehui ; Li, Zhijun ; Shi, Yuntao ; Zhang, Junjie

Author_Institution

North China Univ. of Technol., Beijing

fYear

2007

fDate

May 30 2007-June 1 2007

Firstpage

1857

Lastpage

1861

Abstract

A stabilizing output feedback model predictive control algorithm is proposed for linear systems with input constraints. Dual mode control strategy is adopted: the state observer, linear feedback controller and terminal constraint set are pre-computed; if the state is contained in terminal constraint set, linear feedback controller is used; otherwise a linear control structure with free vector is used, and control law can be obtained by solving an Second Order Cone Programming (SOCP) problem. The system with bounded disturbance is considered and bounded stability is shown. Simulations results show the effectiveness of the control algorithm.

Keywords

asymptotic stability; closed loop systems; control system synthesis; feedback; linear systems; mathematical programming; observers; predictive control; asymptotical stability; bounded disturbance; closed loop system; control system design; dual mode control strategy; input constraint; linear system; model predictive control; output feedback; second order cone programming; state observer; Adaptive control; Linear feedback control systems; Linear programming; Linear systems; Output feedback; Prediction algorithms; Predictive control; Predictive models; Stability; Vectors; input constraints; model predictive control; output feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2007. ICCA 2007. IEEE International Conference on

Conference_Location

Guangzhou

Print_ISBN

978-1-4244-0818-4

Electronic_ISBN

978-1-4244-0818-4

Type

conf

DOI

10.1109/ICCA.2007.4376684

Filename

4376684