• DocumentCode
    3161269
  • Title

    Internal Model Principle for Measurement Feedback Problem

  • Author

    Chen, Zhiyong

  • Author_Institution
    Univ. of Newcastle, Newcastle
  • fYear
    2007
  • fDate
    9-13 July 2007
  • Firstpage
    2606
  • Lastpage
    2611
  • Abstract
    While the disturbances in actuators are well handled by the output regulation theory (especially, called input disturbance suppression problem), there are rare results to deal with those in sensors. When disturbances enter sensors, the plant states cannot be precisely measured, and the state feedback control laws are not implementable. Instead, the measurement feedback control laws become interesting. This paper gives a new mechanism using the internal model principle for designing measurement feedback control laws to solve the robust regulation problem. The proposed controllers have the robustness with respect to sensor disturbances. The mechanism derives from the output regulation theory, and puts this theory to a new stage.
  • Keywords
    control nonlinearities; control system synthesis; feedback; robust control; actuators; input disturbance suppression; internal model principle; measurement feedback problem; output regulation theory; robust regulation; Actuators; Control systems; Drives; Feedback control; Nonlinear control systems; Nonlinear systems; Output feedback; Robust control; Sensor systems; State feedback;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2007. ACC '07
  • Conference_Location
    New York, NY
  • ISSN
    0743-1619
  • Print_ISBN
    1-4244-0988-8
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2007.4282313
  • Filename
    4282313