Stability analysis for linear/nonlinear model predictive control of constrained processes

Author

Valluri, Sairam ; Kapila, Vikram

Author_Institution

Dept. of Chem. Eng., Drexel Univ., Philadelphia, PA, USA

Volume

3

fYear

1998

fDate

21-26 Jun 1998

Firstpage

1679

Abstract

We present a stability analysis method for input constrained SISO linear/nonlinear systems with model predictive controllers. Specifically, this method is based on a Lyapunov function framework and provides a subset of the domain of attraction for the closed-loop stability under the shortest-prediction-horizon model predictive control laws. By using this framework a designer can a posteriori verify the overall stability of closed-loop system for a desired performance in the event of actuator saturation. The effectiveness of the method is demonstrated by considering linear and nonlinear examples

Keywords

Lyapunov methods; asymptotic stability; closed loop systems; control system analysis; linear systems; nonlinear systems; predictive control; state feedback; Lyapunov function; SISO systems; actuator saturation; asymptotic stability; closed-loop system; linear systems; model predictive control; nonlinear systems; state feedback; Aerospace control; Aerospace engineering; Chemical engineering; Control design; Feedback; Linear systems; Nonlinear systems; Predictive control; Predictive models; Stability analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 1998. Proceedings of the 1998

Conference_Location

Philadelphia, PA

ISSN

0743-1619

Print_ISBN

0-7803-4530-4

Type

conf

DOI

10.1109/ACC.1998.707292

Filename

707292