• DocumentCode
    71498
  • Title

    Observer-Based Feedback Controller Design for a Class of Stochastic Systems With Non-Gaussian Variables

  • Author

    Yunlong Liu ; Hong Wang ; Lei Guo

  • Author_Institution
    Sch. of Instrum. Sci. & Opto-Electron. Eng., Beihang Univ., Beijing, China
  • Volume
    60
  • Issue
    5
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    1445
  • Lastpage
    1450
  • Abstract
    In this note, the observer-based feedback control problem is investigated for a class of non-Gaussian stochastic systems. The proposed control strategy is the optimal control under a performance function measuring a sort of entropy of the state deviation. Sufficient conditions under which the closed-loop system is locally and ultimately bounded in the mean-square sense are presented. Simulation results demonstrate the effectiveness of the proposed design method.
  • Keywords
    closed loop systems; control system synthesis; feedback; least mean squares methods; observers; optimal control; stochastic systems; closed-loop system; nonGaussian variables; observer-based feedback controller design; optimal control; stochastic system; Entropy; Estimation error; Noise; Observers; Probability density function; Random variables; Vectors; Entropy; information potential; non-Gaussian variables; probability density function; stochastic distribution control;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2014.2358411
  • Filename
    6899619