- 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
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