Model-predictive control and closed-loop stability considerations for nonlinear plants described by local ARX-type models


Autoria(s): Cholette, Michael E.; Djurdjanovic, Dragan
Data(s)

01/10/2013

Resumo

In this paper, a model-predictive control (MPC) method is detailed for the control of nonlinear systems with stability considerations. It will be assumed that the plant is described by a local input/output ARX-type model, with the control potentially included in the premise variables, which enables the control of systems that are nonlinear in both the state and control input. Additionally, for the case of set point regulation, a suboptimal controller is derived which has the dual purpose of ensuring stability and enabling finite-iteration termination of the iterative procedure used to solve the nonlinear optimization problem that is used to determine the control signal.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/67558/

Publicador

American Society of Mechanical Engineers

Relação

http://eprints.qut.edu.au/67558/1/control_conference_paper.pdf

DOI:10.1115/DSCC2013-3973

Cholette, Michael E. & Djurdjanovic, Dragan (2013) Model-predictive control and closed-loop stability considerations for nonlinear plants described by local ARX-type models. In Proceedings of the 6th Annual ASME Dynamic Systems and Control Conference, Volume 3: Nonlinear Estimation and Control, American Society of Mechanical Engineers, Stanford University, Munger Center, Palo Alto, CA, pp. 1-10.

Direitos

Copyright 2013 American Society of Mechanical Engineers

Fonte

School of Chemistry, Physics & Mechanical Engineering; Science & Engineering Faculty

Palavras-Chave #090602 Control Systems Robotics and Automation #091302 Automation and Control Engineering
Tipo

Conference Paper