Scenario-based, closed-loop model predictive control with application to emergency vehicle scheduling

Title: Scenario-based, closed-loop model predictive control with application to emergency vehicle scheduling
Creator: Goodwin, Graham C.; Medioli, Adrian M.
Relation: ARC
Relation: International Journal of Control Vol. 86, Issue 8, p. 1338-1348
Publisher Link: http://dx.doi.org/10.1080/00207179.2013.788215
Publisher: Taylor & Francis
Resource Type: journal article
Date: 2013
Description: Model predictive control has been a major success story in process control. More recently, the methodology has been used in other contexts, including automotive engine control, power electronics and telecommunications. Most applications focus on set-point tracking and use single-sequence optimisation. Here we consider an alternative class of problems motivated by the scheduling of emergency vehicles. Here disturbances are the dominant feature. We develop a novel closed-loop model predictive control strategy aimed at this class of problems. We motivate, and illustrate, the ideas via the problem of fluid deployment of ambulance resources.
Subject: scenario-based MPC; stochastic control; emergency vehicles; re-deployment; approximate dynamic programming
Identifier: http://hdl.handle.net/1959.13/1299447
Identifier: uon:19877
Identifier: ISSN:0020-7179
Language: eng
Reviewed

		Thumbnail	File	Description	Size	Format