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

Valluri Sairam, Kapila Vikram

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, 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.

Original languageEnglish (US)
Title of host publicationProceedings of the 1998 American Control Conference, ACC 1998
Pages1679-1683
Number of pages5
DOIs
StatePublished - 1998
Event1998 American Control Conference, ACC 1998 - Philadelphia, PA, United States
Duration: Jun 24 1998Jun 26 1998

Publication series

NameProceedings of the American Control Conference
Volume3
ISSN (Print)0743-1619

Other

Other1998 American Control Conference, ACC 1998
CountryUnited States
CityPhiladelphia, PA
Period6/24/986/26/98

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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