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