• DocumentCode
    331686
  • Title

    State estimation nonlinear QDMC with input-output models

  • Author

    Gattu, Gangadhar ; Zafiriou, Evanghelos

  • Author_Institution
    Dept. of Chem. Eng., Maryland Univ., College Park, MD, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    29 June-1 July 1994
  • Firstpage
    3248
  • Abstract
    A state estimation NLQDMC (nonlinear LQ dynamic matrix control) algorithm is presented for use with nonlinear input-output models. The proposed algorithm extends the state estimation NLQDMC presented previously by the authros (1992) to nonlinear models identified using input-output information. The algorithm preserves the computational advantages of the previous approach when compared to the other algorithms based on nonlinear programming techniques. The illustrating example given demonstrates the usage of tuning parameters and points out the benefits and shortcomings of the algorithm.
  • Keywords
    linear quadratic control; nonlinear control systems; state estimation; state-space methods; LQ dynamic matrix control; input-output models; nonlinear QDMC; nonlinear input-output models; state estimation; tuning parameters; Covariance matrix; Noise measurement; Open loop systems; Predictive models; Q measurement; Regulators; Riccati equations; State estimation; Stochastic processes; White noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1994
  • Print_ISBN
    0-7803-1783-1
  • Type

    conf

  • DOI
    10.1109/ACC.1994.735175
  • Filename
    735175