• DocumentCode
    510152
  • Title

    Ecological Modeling and Simulation: A New Method of Impulsive Control for the Lotka–Volterra System

  • Author

    Ye, Xinxin ; Zhang, Qiang ; Shan, Lifei ; Wan, Yuehua

  • Author_Institution
    Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China
  • Volume
    1
  • fYear
    2009
  • fDate
    7-8 Nov. 2009
  • Firstpage
    616
  • Lastpage
    620
  • Abstract
    This paper mainly discusses the control strategy for an profit-oriented ecosystem which is described by multi-dimensional Lotka-Volterra model. The though comes from the concept of impulsive control which can reach the same effect with continuous control strategy but has much more advantages while considering the feasibility factors. The difference with other impulsive control strategies is that we try to seek a balance point among the economical and environmental effects and the applicability of the strategy by taking the cost of harvesting into consideration. Moreover, the proposed control strategy can obtain the optimum time interval which is often neglected in other papers. The numerical simulation shows that the control strategy can refine an autonomous system which is harmful for the surrounding environment to a system that is both economically interesting and environmentally friendly. Meanwhile, the control strategy is easy to be applied and popularized.
  • Keywords
    Volterra equations; ecology; environmental factors; Lotka-Volterra system; control strategy; ecological modeling; ecological simulation; environmental effects; impulsive control; multidimensional Lotka-Volterra model; profit-oriented ecosystem; Automatic control; Biological system modeling; Computational modeling; Control systems; Ecosystems; Environmental economics; Linear feedback control systems; Manufacturing automation; Marine animals; Sliding mode control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3835-8
  • Electronic_ISBN
    978-0-7695-3816-7
  • Type

    conf

  • DOI
    10.1109/AICI.2009.407
  • Filename
    5376327