• DocumentCode
    1061631
  • Title

    Adaptive fault-tolerant control of nonlinear uncertain systems: an information-based diagnostic approach

  • Author

    Zhang, Xiaodong ; Parisini, Thomas ; Polycarpou, Marios M.

  • Author_Institution
    Intelligent Autom. Inc., Rockville, MD, USA
  • Volume
    49
  • Issue
    8
  • fYear
    2004
  • Firstpage
    1259
  • Lastpage
    1274
  • Abstract
    This paper presents a unified methodology for detecting, isolating and accommodating faults in a class of nonlinear dynamic systems. A fault diagnosis component is used for fault detection and isolation. On the basis of the fault information obtained by the fault-diagnosis procedure, a fault-tolerant control component is designed to compensate for the effects of faults. In the presence of a fault, a nominal controller guarantees the boundedness of all the system signals until the fault is detected. Then the controller is reconfigured after fault detection and also after fault isolation, to improve the control performance by using the fault information generated by the diagnosis module. Under certain assumptions, the stability of the closed-loop system is rigorously investigated. It is shown that the system signals remain bounded and the output tracking error converges to a neighborhood of zero.
  • Keywords
    adaptive control; closed loop systems; condition monitoring; control system synthesis; fault tolerance; nonlinear control systems; nonlinear dynamical systems; stability; uncertain systems; adaptive fault tolerant control; closed-loop system stability; fault detection; fault diagnosis procedure; fault isolation estimators; information-based diagnostics approach; nonlinear adaptive estimators; nonlinear dynamic systems; nonlinear uncertain systems; online health monitoring; single-input single-output systems; Adaptive control; Control systems; Fault detection; Fault diagnosis; Fault tolerance; Fault tolerant systems; Nonlinear control systems; Programmable control; Stability; Uncertain systems; Fault detection and isolation; fault-tolerant control; neural networks; nonlinear systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2004.832201
  • Filename
    1323169