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Applications of Control Theory in Ecology

Proceedings of the Symposium on Optimal Control Theory held at the State University of New York, Syracuse, New York, August 10–16, 1986

  • Conference proceedings
  • © 1987

Overview

Editors:
  1. Yosef Cohen

    1. Department of Fisheries and Wildlife, University of Minnesota, St. Paul, USA

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Part of the book series: Lecture Notes in Biomathematics (LNBM, volume 73)

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Table of contents (5 papers)

  1. Front Matter

    Pages I-VII
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  2. Modelling Behavioral Decisions of Insects

    • Marc Mangel
    Pages 1-18

  3. Optimal Reproductive Strategies in Annual Plants

    • Yosef Cohen
    Pages 19-37

  4. Applications of Optimal Impulse Control to Optimal Foraging Problems

    • Yosef Cohen
    Pages 39-56

  5. Fur Seal and Blue Whale: The Bioeconomics of Extinction

    • Robert Mckelvey
    Pages 57-82

  6. Predator-Prey Coevolution as an Evolutionary Game

    • Joel S. Brown, Thomas L. Vincent
    Pages 83-101

  7. Back Matter

    Pages 103-104
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Keywords

About this book

Control theory can be roughly classified as deterministic or stochastic. Each of these can further be subdivided into game theory and optimal control theory. The central problem of control theory is the so called constrained maximization (which-­ with slight modifications--is equivalent to minimization). One can then say, heuristically, that the major problem of control theory is to find the maximum of some performance criterion (or criteria), given a set of constraints. The starting point is, of course, a mathematical representation of the performance criterion (or criteria)-­ sometimes called the objective functional--along with the constraints. When the objective functional is single valued (Le. , when there is only one objective to be maximized), then one is dealing with optimal control theory. When more than one objective is involved, and the objectives are generally incompatible, then one is dealing with game theory. The first paper deals with stochastic optimal control, using the dynamic programming approach. The next two papers deal with deterministic optimal control, and the final two deal with applications of game theory to ecological problems. In his contribution, Dr. Marc Mangel applies the dynamic proQramming approach, as modified by his recent work--with Dr. Colin Clark, from the University of British Columbia (Mangel and Clark 1987}*--to modelling the "behavioral decisions" of insects. The objective functional is a measure of fitness. Readers interested in detailed development of the subject matter may consult Mangel (1985). My contributions deal with two applications of optimal control theory.

Editors and Affiliations

  • Department of Fisheries and Wildlife, University of Minnesota, St. Paul, USA

    Yosef Cohen

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