Coverage Modeling for Dependability Analysis of Fault-Tolerant Systems
IEEE Transactions on Computers
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
SIAM Review
Technical Communique: Control reconfigurability of linear time-invariant systems
Automatica (Journal of IFAC)
Isolation and handling of actuator faults in nonlinear systems
Automatica (Journal of IFAC)
Reliability monitoring of fault tolerant control systems with demonstration on an aircraft model
Journal of Control Science and Engineering - Robustness Issues in Fault Diagnosis and Fault Tolerant Control
Fault-tolerant control of a distributed database system
Journal of Control Science and Engineering - Robustness Issues in Fault Diagnosis and Fault Tolerant Control
Incorporating users' creativity in new product development via a user successive design strategy
International Journal of Computer Applications in Technology
Reliability Modeling of Fault Tolerant Control Systems
International Journal of Applied Mathematics and Computer Science
Fault coverage modeling in nonlinear dynamical systems
Automatica (Journal of IFAC)
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In this paper, fault-tolerant control is viewed as the control of a finite state stochastic failure process. Coverage of failures serves to effect the control action which attempts to minimize the risk of the system level failure. A Markov model is used to describe the failure process. Transient events are scrutinized that occur between the onset of a subsystem failure and the settlement of the continuous state trajectory of the controlled system at a new equilibrium. The relationship of the coverage to the quality of diagnosis and control is analytically expressed, and the monotonic dependence of the system level reliability on the coverage is formally established. A flight control example is presented to explain the procedures for reliability analysis, coverage calculation, the execution of supervisory control, and the construction of fitness landscapes that define the place of a discrete state in the continuous state control system.