• DocumentCode
    1717478
  • Title

    Identification of urban drainage network rainfall-runoff black-box models

  • Author

    Previdi, Fabio ; Lovera, Marco ; Mambretti, Stefano

  • Author_Institution
    Dipt. di Elettronica, Politecnico di Milano, Italy
  • Volume
    2
  • fYear
    1998
  • Firstpage
    1255
  • Abstract
    The problem of calibrating conceptual models for the design of urban drainage networks is analysed and the use of black-box identification methods is proposed and applied to experimental data. Both linear (ARX and state space) and nonlinear (polynomial and neural NARX) models are considered and their performance in the simulation and prediction of the network flow from rainfall measurements is evaluated
  • Keywords
    MIMO systems; autoregressive processes; discrete time systems; identification; operations research; rain; state-space methods; town and country planning; ARX model; MIMO systems; NARX models; black-box models; discrete time systems; identification; rainfall; simulation; state space model; urban drainage network; Calibration; Electronic mail; Fluid flow measurement; Hydrologic measurements; Lakes; Polynomials; Predictive models; Rain; State-space methods; System identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 1998. Proceedings of the 1998 IEEE International Conference on
  • Conference_Location
    Trieste
  • Print_ISBN
    0-7803-4104-X
  • Type

    conf

  • DOI
    10.1109/CCA.1998.721660
  • Filename
    721660