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This paper introduces the predictive vector field controller (PVF). This controller is designed for controlling nonlinear systems with constraints in order to follow artificial vector fields whose integral curves converge to and circulate about a desired path. This is achieved by predicting the state of the system at some future time horizon using a finite set of system inputs by uniformly sampling...
Active fault tolerant control systems are feedback control systems that reconfigure the control law in real time based on the response from an automatic failure detection and identification (FDI) scheme. The dynamic behavior of such systems is characterized by stochastic differential equations because of the random nature of the failure events and the FDI decisions. The stability analysis of these...
Active fault tolerant control systems are feedback control systems that reconfigure the control law in real time based on the response from an automatic failure detection and identification (FDI) scheme. The dynamic behavior of such systems is characterized by stochastic differential equations because of the random nature of the failure events and the FDI decisions. The stability analysis of these...
The stability robustness of an indirect adaptive control algorithm using batch least squares identification is examined. By enforcing a persistence of excitation condition on the reference input, a bound on the parameter estimation errors due to the unmodelled dynamics is developed. Conditions under which the closed loop stability of a pole-placement adaptive control strategy can be expected are then...
The stability robustness of an indirect adaptive control algorithm using batch least squares identification is examined. By enforcing a persistence of excitation condition on the reference input, a bound on the parameter estimation errors due to the unmodelled dynamics is developed. Conditions under which the closed loop stability of a pole-placement adaptive control strategy can be expected are then...
The development of numerous methods for automatically diagnosing faults in complex systems leads naturally to the design problem of choosing the best method and the best design parameters for a particular system. This paper addresses the problem of efficiently evaluating the performance of systems which include automatic fault diagnostics. The analytical methods discussed rely on the construction...
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