• DocumentCode
    1717459
  • Title

    Min-max MPC for LPV systems subject to actuator saturation by a saturation-dependent Lyapunov function

  • Author

    Zhang Langwen ; Wang Jingcheng ; Li Kang

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2013
  • Firstpage
    4087
  • Lastpage
    4092
  • Abstract
    In this paper, we present a model predictive control algorithm for input-saturated systems by a saturation-dependent Lyapunov function approach. The saturation-dependent Lyapunov function captures the real-time information on the severity of saturation and thus leads to less conservative results in controller design. A set invariance condition for the systems with input saturation is presented. A min-max MPC algorithm is proposed for the linear parameter-varying (LPV) systems based on the invariant set. The MPC controller is determined by solving a linear matrix inequality (LMI) optimization problem. Numerical example demonstrates the effectiveness of the proposed algorithm.
  • Keywords
    Lyapunov methods; actuators; control system synthesis; invariance; linear matrix inequalities; linear systems; minimax techniques; optimisation; predictive control; LMI optimization problem; LPV systems; MPC controller; actuator saturation; controller design; input saturation; input-saturated systems; linear matrix inequality optimization problem; linear parameter-varying systems; min-max MPC algorithm; model predictive control algorithm; real-time information; saturation-dependent Lyapunov function approach; set invariance condition; Actuators; Algorithm design and analysis; Heuristic algorithms; Lyapunov methods; Prediction algorithms; Predictive control; Real-time systems; Actuator saturation; Linear parameter-varying; Model Predictive Control; Saturation-dependent;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2013 32nd Chinese
  • Conference_Location
    Xi´an
  • Type

    conf

  • Filename
    6640136