Dr Chris Guiver C.Guiver@napier.ac.uk
Lecturer
Robust set-point regulation for ecological models with multiple management goals
Guiver, Chris; Mueller, Markus; Hodgson, Dave; Townley, Stuart
Authors
Markus Mueller
Dave Hodgson
Stuart Townley
Abstract
Population managers will often have to deal with problems of meeting multiple goals, for example, keeping at specific levels both the total population and population abundances in given stage-classes of a stratified population. In control engineering, such set-point regulation problems are commonly tackled using multi-input, multi-output proportional and integral (PI) feedback controllers. Building on our recent results for population management with single goals, we develop a PI control approach in a context of multi-objective population management. We show that robust set-point regulation is achieved by using a modified PI controller with saturation and anti-windup elements, both described in the paper, and illustrate the theory with examples. Our results apply more generally to linear control systems with positive state variables, including a class of infinite-dimensional systems, and thus have broader appeal.
Citation
Guiver, C., Mueller, M., Hodgson, D., & Townley, S. (2016). Robust set-point regulation for ecological models with multiple management goals. Journal of Mathematical Biology, 72, 1467-1529. https://doi.org/10.1007/s00285-015-0919-7
Journal Article Type | Article |
---|---|
Acceptance Date | Jul 25, 2015 |
Online Publication Date | Aug 5, 2015 |
Publication Date | 2016-05 |
Deposit Date | Jul 23, 2020 |
Publicly Available Date | Aug 5, 2020 |
Journal | Journal of Mathematical Biology |
Print ISSN | 0303-6812 |
Electronic ISSN | 1432-1416 |
Publisher | BMC |
Peer Reviewed | Peer Reviewed |
Volume | 72 |
Pages | 1467-1529 |
DOI | https://doi.org/10.1007/s00285-015-0919-7 |
Keywords | Anti-windup control, PI control, Population ecology, Positive state system, Resource management |
Public URL | http://researchrepository.napier.ac.uk/Output/2677323 |
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This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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