• DocumentCode
    165335
  • Title

    SNR limitation for feedback control systems with amplitude-bounded noise

  • Author

    Shingin, Hidenori ; Ohta, Yoshichika

  • Author_Institution
    Dept. of Mech. Eng., Yamaguchi Univ., Yamaguchi, Japan
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1632
  • Lastpage
    1637
  • Abstract
    This paper presents an SNR limitation in control under amplitude-bounded noise. The SNR of feedback link in control system is evaluated with respect to amplitude and minimized over all causal control laws. The minimum SNR is represented by the absolute value of the product of unstable poles of the plant. This index is known to describe performance limitations in various control problems. The optimal control law minimizing the SNR is simply constructed as a combination of scaling factor and the state feedback gain for minimum energy control. This control law overcomes the drawback of computational complexity of the encoding scheme minimizing bit-rate, which is employed to minimize an amplitude-base SNR in our preceding work. This simplification is accomplished by relaxing the requirement of stability to the convergence of the state to near the origin and introducing a new criterion for evaluating SNR.
  • Keywords
    Gaussian channels; active noise control; channel capacity; computational complexity; optimal control; stability; state feedback; telecommunication control; Gaussian channels; SNR limitation; amplitude-bounded noise; channel capacity; computational complexity; feedback control system; minimum energy control; optimal control law; scaling factor; state feedback gain; Control systems; Estimation; Indexes; Observability; Signal to noise ratio; Silicon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control (ISIC), 2014 IEEE International Symposium on
  • Conference_Location
    Juan Les Pins
  • Type

    conf

  • DOI
    10.1109/ISIC.2014.6967631
  • Filename
    6967631