relation: http://eprints.imtlucca.it/520/
title: Hybrid model predictive control based on wireless sensor feedback: an experimental study
creator: Bemporad, Alberto
creator: Di Cairano, Stefano
creator: Henriksson, Erik
creator: Johansson, Karl Henrik
subject: QA75 Electronic computers. Computer science
subject: TA Engineering (General). Civil engineering (General)
description: This paper presents the design and the experimental validation of model predictive control (MPC) of a hybrid dynamical process based on measurements collected by a wireless sensor network. The proposed setup is the prototype of an industrial application in which a remote station controls the process via wireless network links. The experimental platform is a laboratory process consisting of four infrared lamps, controlled in pairs by two on/off switches, and of a transport belt, where moving parts equipped with wireless sensors are heated by the lamps. By approximating the stationary heat spatial distribution as a piecewise affine function of the position along the belt, the resulting plant model is a hybrid dynamical system. The control architecture is based on the reference governor approach: the process is actuated by a local controller, while a hybrid MPC algorithm running on a remote base station sends optimal belt velocity set-points and lamp on/off commands over a network link exploiting the information received through the wireless network. A discrete-time hybrid model of the process is used for the hybrid MPC algorithm and for the state estimator.
publisher: IEEE
date: 2007
type: Book Section
type: PeerReviewed
identifier:   Bemporad, Alberto and Di Cairano, Stefano and Henriksson, Erik and Johansson, Karl Henrik  Hybrid model predictive control based on wireless sensor feedback: an experimental study.   In:  Decision and Control.   IEEE, 12th-14th December 2007, 5062-5067 .  ISBN 978-1-4244-1497-0       (2007)  
relation: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4434918&isnumber=4434000
relation: 10.1109/CDC.2007.4434918