• DocumentCode
    2820165
  • Title

    NGMV control of state dependent multivariable systems

  • Author

    Grimble, M.J. ; Pang, Yan

  • Author_Institution
    Univ. of Sfrathclyde, Glasgow
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    1628
  • Lastpage
    1633
  • Abstract
    A nonlinear generalized minimum variance control law is derived for the control of nonlinear multivariable systems. The solution for the control law is obtained using a model for the process that includes three different types of subsystem to provide a variety of means of modeling the system. These may not all be present. The first subsystem involves a nonlinear operator of very general form. The second is a state dependent, state equation model of the plant and finally a linear state-equation model represents the output subsystem, disturbance and reference models. The process is assumed to include common delays in input or output channels of magnitude k. The quadratic like cost index involves state, error and control signal costing terms. The controller obtained is simple to implement, particularly in one form, which might be considered a nonlinear state-dependent version of the Smith predictor.
  • Keywords
    control system synthesis; multivariable control systems; nonlinear control systems; Smith predictor; cost index; linear state equation model; nonlinear generalized minimum variance control law; nonlinear multivariable systems; state dependent multivariable systems; Control systems; Costing; Costs; Error correction; Kalman filters; MIMO; Nonlinear control systems; Nonlinear equations; Optimal control; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434359
  • Filename
    4434359