• DocumentCode
    2254388
  • Title

    Decentralized robust H∞ model predictive control of discrete-time singular large-scale systems

  • Author

    Chan, Gao ; Hua, Liu Xiao

  • Author_Institution
    School of Mathematics and Statistics Science, Ludong University, Yantai, Shandong, 264025, P.R. China
  • fYear
    2015
  • fDate
    28-30 July 2015
  • Firstpage
    4173
  • Lastpage
    4178
  • Abstract
    The paper is concerned with decentralized robust H∞ model predictive control for a class of discrete-time singular large-scale systems with external disturbance and input constraints. A synthesis method to design decentralized robust H∞ model predictive controller is proposed based on H∞ performance. By applying the Lyapunov stable theory and linear matrix inequalities(LMI) technique, the sufficient condition for the existence of the decentralized robust H∞ model predictive controller is given. On the basis of the proposed decentralized robust model predictive control approach, it can be proved that the closed-loop discrete-time singular large-scale system is stable, regular and causal. Finally, a numerical simulation is given to illustrate the proposed method.
  • Keywords
    Decentralized control; Large-scale systems; Optimization; Predictive control; Robustness; State feedback; Symmetric matrices; Decentralized control; H performance; Robust model predictive control; singular large scale systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2015 34th Chinese
  • Conference_Location
    Hangzhou, China
  • Type

    conf

  • DOI
    10.1109/ChiCC.2015.7260282
  • Filename
    7260282