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Model-Matching-Based Control of the Beverton-Holt Equation in Ecology

Author

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  • M. De La Sen
  • S. Alonso-Quesada

Abstract

This paper discusses the generation of a carrying capacity of the environment so that the famous Beverton-Holt equation of Ecology has a prescribed solution. The way used to achieve the tracking objective is the design of a carrying capacity through a feedback law so that the prescribed reference sequence, which defines the suitable behavior, is achieved. The advantage that the inverse of the Beverton-Holt equation is a linear time-varying discrete dynamic system whose external input is the inverse of the environment carrying capacity is taken in mind. In the case when the intrinsic growth rate is not perfectly known, an adaptive law implying parametrical estimation is incorporated to the scheme so that the tracking property of the reference sequence becomes an asymptotic objective in the absence of additive disturbances. The main advantage of the proposal is that the population evolution might behave as a prescribed one either for all time or asymptotically, which defines the desired population evolution. The technique might be of interest in some industrial exploitation problems like, for instance, in aquaculture management.

Suggested Citation

  • M. De La Sen & S. Alonso-Quesada, 2008. "Model-Matching-Based Control of the Beverton-Holt Equation in Ecology," Discrete Dynamics in Nature and Society, Hindawi, vol. 2008, pages 1-21, February.
  • Handle: RePEc:hin:jnddns:793512
    DOI: 10.1155/2008/793512
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    Cited by:

    1. Manuel De la Sen & Asier Ibeas & Aitor J. Garrido, 2019. "Stage-Dependent Structured Discrete-Time Models for Mosquito Population Evolution with Survivability: Solution Properties, Equilibrium Points, Oscillations, and Population Feedback Controls," Mathematics, MDPI, vol. 7(12), pages 1-29, December.
    2. Manuel De la Sen & Asier Ibeas & Santiago Alonso-Quesada, 2021. "On the Reachability of a Feedback Controlled Leontief-Type Singular Model Involving Scheduled Production, Recycling and Non-Renewable Resources," Mathematics, MDPI, vol. 9(17), pages 1-35, September.

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