• DocumentCode
    2206025
  • Title

    Artificial neural networks inversion based dynamic compensator of sensors

  • Author

    Dai, Xianzhong ; Yin, Ming ; Wang, Qin ; Wang, Wancheng

  • Author_Institution
    Dept. of Autom. Control, Southeast Univ., Nanjing, China
  • fYear
    2004
  • fDate
    21-25 June 2004
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    A novel dynamic compensator of sensors based on ANN (artificial neural networks) inversion is proposed according to the theory of inverse methods and excellent approach abilities of ANN. ANN inversion-based dynamic compensator of sensor is achieved through offline training the ANN inversion that combines the static ANN and dynamic factors. The dynamic performance of sensor is improved effectively by cascading ANN inversion with the original sensor. Simulation and experiment results indicate that the dynamic performance of sensor is remarkably improved and enhanced using the proposed compensator.
  • Keywords
    computerised instrumentation; data acquisition; learning (artificial intelligence); neural nets; sensors; ANN; artificial neural networks; dynamic compensator; inverse method; inverse systems; sensors; Artificial neural networks; Deconvolution; Intelligent networks; Intelligent sensors; Interconnected systems; Inverse problems; Neural networks; Nonlinear dynamical systems; Sensor systems; Time domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Acquisition, 2004. Proceedings. International Conference on
  • Print_ISBN
    0-7803-8629-9
  • Type

    conf

  • DOI
    10.1109/ICIA.2004.1373364
  • Filename
    1373364