Author_Institution :
Dept. of Mech. & Aerosp. Eng., Princeton Univ., NJ, USA
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;