• DocumentCode
    2817859
  • Title

    A model predictive control approach to networked systems

  • Author

    Zhang, Guofeng ; Chen, Xiang ; Chen, Tongwen

  • Author_Institution
    Electron. Sci. & Technol. Univ. of China, Chengdu
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    3339
  • Lastpage
    3344
  • Abstract
    This paper addresses the problem of controller design for networked control systems regulated by a network data transmission scheme proposed in G. Zhang and T. Chen (2005). The plant under the transmission constraint is first formulated as a mixed logical dynamical system, then model predictive control (MPC) based on the mixed-integer programming is applied to derive the controller. It is shown that the non-convexity feature of this class of networked control systems rules out piecewise affine controllers that are designable for linear convex problems. Nevertheless, controller design is still feasible due to the special nature of the data transmission strategy, i.e., only a small number of logic values is involved. An example is given to illustrate the strength of the proposed approach.
  • Keywords
    control system synthesis; convex programming; integer programming; nonlinear dynamical systems; piecewise linear techniques; predictive control; controller design; linear convex problems; mixed logical dynamical system; mixed-integer programming; model predictive control approach; networked control systems; piecewise affine controllers; Actuators; Communication system control; Control systems; Data communication; Delay effects; Dynamic programming; Logic programming; Networked control systems; Predictive control; Predictive models; hybrid systems; mixed logical dynamical systems; model predictive control; networked control systems; non-convex mixed-integer programming;
  • 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.2007.4434214
  • Filename
    4434214