• DocumentCode
    176280
  • Title

    Optimal control of linear discrete-time systems with quantization effects

  • Author

    Weizhou Su ; Jie Chen ; Minyue Fu ; Tian Qi ; Yilin Wu

  • Author_Institution
    Sch. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    2582
  • Lastpage
    2587
  • Abstract
    This paper studies optimal control designs for networked linear discrete-time systems with quantization effects and/or fading channel. The quantization errors and/or fading channels are modeled as multiplicative noises. The H2 optimal control in mean-square sense is formulated. The necessary and sufficient condition to the existence of the mean-square stabilizing solution to a modified algebraic Riccati equation (MARE) is presented. The optimal H2 control via state feedback for the systems is designed by using the solution to the MARE. It is a nature extension for the result in standard optimal discrete-time H2 state feedback design. It is shown that this optimal state feedback design problem is eigenvalue problem (EVP) and the optimal design algorithm is developed.
  • Keywords
    H2 control; Riccati equations; control system synthesis; discrete time systems; eigenvalues and eigenfunctions; fading channels; linear systems; mean square error methods; networked control systems; optimal control; quantisation (signal); stability; state feedback; EVP; MARE; eigenvalue problem; fading channel; mean square stabilizing solution; modified algebraic Riccati equation; multiplicative noise; necessary and sufficient condition; networked linear discrete-time system; quantization effect; quantization error; standard optimal discrete-time H2 state feedback design; Closed loop systems; Noise; Optimal control; Quantization (signal); Riccati equations; Standards; State feedback; Algebraic Riccati equation; Multiplicative noise; Optimal control; Quantization error;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852609
  • Filename
    6852609