Dual-rate Min-max Robust Generalized Predictive Control

Author

Liu, Jing ; Liu, Xiaohua

Author_Institution

Sch. of Math. & Inf., Ludong Univ., Yantai

Volume

1

fYear

0

fDate

0-0 0

Firstpage

536

Lastpage

539

Abstract

Dual-rate min-max robust generalized predictive control algorithm is proposed, which adds a constraint output horizon to improve the system properties. A certain class of system, in which the control is applied at a faster rate than the available measurements of the plant output signal, is chosen to illustrate the technique. A controller with strong robustness is derived, which is robust to disturbances by minimizing the cost function while disturbances maximize it. Some robust stability conditions are derived. Computer simulations demonstrate the usefulness of the proposed controller

Keywords

minimax techniques; predictive control; robust control; computer simulations; constraint output horizon; dual-rate systems; min-max generalized predictive control; robust stability; Computer simulation; Control systems; Cost function; Polynomials; Prediction algorithms; Predictive control; Predictive models; Robust control; Robust stability; Sampling methods; Dual-rate systems; Frequency domain; Min-max generalized predictive control; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1712397

Filename

1712397