Robust set-point regulation for ecological models with multiple management goals

被引:4
|
作者
Guiver, Chris [1 ]
Mueller, Markus [1 ]
Hodgson, Dave [2 ]
Townley, Stuart [1 ]
机构
[1] Univ Exeter, Coll Engn Math & Phys Sci, Environm & Sustainabil Inst, Penryn Campus, Penryn TR10 9FE, Cornwall, England
[2] Univ Exeter, Coll Life & Environm Sci, Ctr Ecol & Conservat, Penryn Campus, Penryn TR10 9FE, Cornwall, England
基金
英国工程与自然科学研究理事会;
关键词
Population ecology; Resource management; PI control; Positive state system; Anti-windup control; MULTIVARIABLE TUNING-REGULATORS; INTEGRAL PROJECTION MODELS; LOW-GAIN CONTROL; ANTIWINDUP DESIGN; STABILITY; POPULATIONS; PERTURBATIONS; UNCERTAINTY; SENSITIVITY; DEMOGRAPHY;
D O I
10.1007/s00285-015-0919-7
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:1467 / 1529
页数:63
相关论文
共 50 条
  • [1] Robust set-point regulation for ecological models with multiple management goals
    Chris Guiver
    Markus Mueller
    Dave Hodgson
    Stuart Townley
    Journal of Mathematical Biology, 2016, 72 : 1467 - 1529
  • [2] A system inversion approach to robust set-point regulation
    Piazzi, A
    Visioli, A
    PROCEEDINGS OF THE 37TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 1998, : 3849 - 3854
  • [3] Adaptive Set-Point Regulation using Multiple Estimators
    Shahab, Mohamad T.
    Miller, Daniel E.
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 84 - 89
  • [4] Robust set-point constrained regulation via dynamic inversion
    Piazzi, A
    Visioli, A
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2001, 11 (01) : 1 - 22
  • [5] A general theory of set-point regulation for MIMO linear dynamical systems;: The case of state set-point regulation
    Johnson, C. D.
    Proceedings of the Thirty-Eighth Southeastern Symposium on System Theory, 2004, : 27 - 32
  • [6] Noncausal robust set-point regulation of nonminimum-phase scalar systems
    Piazzi, A
    Visioli, A
    PROCEEDINGS OF THE 39TH IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-5, 2000, : 4098 - 4103
  • [7] Set-point regulation for a robot with model uncertainties
    Arogeti, S
    Berman, N
    21ST IEEE CONVENTION OF THE ELECTRICAL AND ELECTRONIC ENGINEERS IN ISRAEL - IEEE PROCEEDINGS, 2000, : 289 - 292
  • [8] Life goals matter to happiness: A revision of set-point theory
    Headey, Bruce
    SOCIAL INDICATORS RESEARCH, 2008, 86 (02) : 213 - 231
  • [9] Life Goals Matter to Happiness: A Revision of Set-Point Theory
    Bruce Headey
    Social Indicators Research, 2008, 86 : 213 - 231
  • [10] Robust nonlinear set-point control with reinforcement learning
    Zhang, Ruoqi
    Mattsson, Per
    Wigren, Torbjorn
    2023 AMERICAN CONTROL CONFERENCE, ACC, 2023, : 84 - 91