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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
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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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
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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