• DocumentCode
    2552903
  • Title

    Optimal control for urban water resources effective supply investment

  • Author

    Li, Kebai ; Chen, Senfa

  • Author_Institution
    Sch. of Econ. & Manage., Southeast Univ., Nanjing
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    290
  • Lastpage
    295
  • Abstract
    On the basis of Logistic model, which describes obstruction to population growth under restrictions of environment and resources, the model of urban average water demand per person is established, and it is also the most extensively used urban water demand function. For the sake of the extraordinary significance of the efficiency and effect of the capital investment in water industry, and on the basis of neoclassical economic theory of investment, an urban water supply function is constructed. Through transforming the nonlinear water demand state function, which does not explicitly contain time variable, into time-varying linear one, which explicitly contains time variable, the nonlinear urban water resources demand and supply management dynamic optimization system is transformed into time-varying linear quadratic optimal control system. By implementing bang-bang control and singular optimal control on the system, the urban water supply investment decision can be reasonably drawn up, and the square error of water resources total supply and demand could be minimized.
  • Keywords
    investment; optimal control; supply and demand; water resources; demand and supply management; optimal control; supply investment; urban water resources; Bang-bang control; Environmental economics; Industrial economics; Investments; Logistics; Nonlinear dynamical systems; Optimal control; Resource management; Time varying systems; Water resources; Demand and Supply Management; Dynamic Optimization; Minimum Principle; Singular Optimal Control; Water Resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597317
  • Filename
    4597317