• DocumentCode
    2290893
  • Title

    The optimization method for a kind of uncertain networked systems based on the stripping principle and optimal control

  • Author

    Wang, Wei

  • Author_Institution
    Dept. of Math., Renmin Univ. of China, Beijing, China
  • fYear
    2012
  • fDate
    6-8 July 2012
  • Firstpage
    964
  • Lastpage
    969
  • Abstract
    We consider the problem of optimal control for a kind of uncertain networked systems which are composed of some heteromorphic subsystems in this paper. For the trouble of encountering the complex structure, the unavoidable uncertainties and/or disturbances of networked systems, we try to remove or eliminate the interconnected parts, uncertainties and disturbances from the system by using the method based on the stripping principle. So we can translate the control problem of uncertain networked systems into that of decentralized control. And then we use optimal control method for the remainder parts of the subsystems respectively. It is the certain kind of optimization in the rejection of uncertainties or disturbances and the optimal control for the remaining parts that we can implement the optimal control for the whole of uncertain networked systems. The theoretical analysis and simulation results are provided to indicate the effectiveness of the proposed approach.
  • Keywords
    decentralised control; large-scale systems; networked control systems; optimal control; optimisation; uncertain systems; complex structure; decentralized control; heteromorphic subsystem; optimal control; optimization method; stripping principle; system disturbances; system uncertainties; uncertain networked system; Educational institutions; Optimal control; Optimization methods; Simulation; Uncertainty; networked system; optimal control; optimization; stripping principle; uncertainty and/or disturbance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2012 10th World Congress on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-1397-1
  • Type

    conf

  • DOI
    10.1109/WCICA.2012.6358018
  • Filename
    6358018