• DocumentCode
    1408890
  • Title

    Intelligent failure-tolerant control

  • Author

    Stengel, Robert F.

  • Author_Institution
    Dept. of Mech. & Aerosp. Eng., Princeton Univ., NJ, USA
  • Volume
    11
  • Issue
    4
  • fYear
    1991
  • fDate
    6/1/1991 12:00:00 AM
  • Firstpage
    14
  • Lastpage
    23
  • Abstract
    An overview of failure-tolerant control is presented, focusing on the control of continuous-time dynamic systems (or plants) whose motions can be represented by integrals of nonlinear ordinary differential equations. Failure tolerance may be called upon to improve system reliability, maintainability, and survivability, and the issues attached to achieving these goals are examined. Robustness, which is required in some degree by all failure-tolerant systems, is discussed. The use of parallel redundancy is examined. Analytical redundancy, the principal functions of which are failure detection, failure identification, and control-system reconfiguration, is also considered. The use of expert systems and neural networks is discussed.<>
  • Keywords
    artificial intelligence; control system analysis; expert systems; fault tolerant computing; neural nets; nonlinear differential equations; redundancy; artificial intelligence; continuous-time dynamic systems; expert systems; failure detection; failure identification; intelligent failure tolerant control; maintainability; neural networks; nonlinear ordinary differential equations; parallel redundancy; survivability; system reliability; Control systems; Differential equations; Integral equations; Intelligent control; Maintenance; Motion control; Nonlinear control systems; Nonlinear dynamical systems; Redundancy; Reliability;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/37.88586
  • Filename
    88586