Efficient scheduled stabilizing output feedback model predictive control for constrained nonlinear systems

Author

Wan, Zhaoyang ; Kothare, Mayuresh V.

Author_Institution

Dept. of Chem. Eng., Lehigh Univ., Bethlehem, PA, USA

Volume

1

fYear

2003

fDate

4-6 June 2003

Firstpage

489

Abstract

In this paper, we present a computationally efficient scheduled output feedback model predictive control (MPC) algorithm for constrained nonlinear systems with large operating regions. We design a set of local output feedback predictive controllers with their estimated regions of stability covering the desired operating region, and implement them as a single scheduled output feedback MPC which online switches between the set of local controllers and achieves nonlinear transitions with guaranteed stability. The algorithm is illustrated with a highly nonlinear continuously stirred tank reactor (CSTR) process.

Keywords

control system synthesis; feedback; nonlinear systems; predictive control; process control; stability; CSTR process control; constrained nonlinear systems; continuously stirred tank reactor; efficient scheduled stabilization; large operating regions; model predictive control; nonlinear transitions; online switching; output feedback; predictive controllers; stability; Inductors; Nonlinear systems; Output feedback; Prediction algorithms; Predictive control; Predictive models; Processor scheduling; Scheduling algorithm; Stability; Switches;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2003. Proceedings of the 2003

ISSN

0743-1619

Print_ISBN

0-7803-7896-2

Type

conf

DOI

10.1109/ACC.2003.1239058

Filename

1239058