Detection of abrupt changes: theory and application
Detection of abrupt changes: theory and application
Automatica (Journal of IFAC)
Innovations generation in the presence of unknown inputs: application to robust failure detection
Automatica (Journal of IFAC)
Change Detection and Input Design in Dynamical Systems
Change Detection and Input Design in Dynamical Systems
High Performance Control
Optimal input design for the detection of changes towards unknown hypotheses
International Journal of Systems Science
Guaranteed Active Failure Detection and Isolation for Linear Dynamical Systems
Automatica (Journal of IFAC)
Auxiliary signal design for rapid multi-model identification using optimization
Automatica (Journal of IFAC)
Controller architectures for switching
ACC'09 Proceedings of the 2009 conference on American Control Conference
Fault Monitoring and Fault Recovery Control for Position-Moored Vessels
International Journal of Applied Mathematics and Computer Science - Issues in Advanced Control and Diagnosis
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The focus of this paper is on stochastic change detection applied in connection with active fault diagnosis (AFD). An auxiliary input signal is applied in AFD. This signal injection in the system will in general allow us to obtain a fast change detection/isolation by considering the output or an error output from the system. The classical cumulative sum (CUSUM) test will be modified with respect to the AFD approach applied. The CUSUM method will be altered such that it will be able to detect a change in the signature from the auxiliary input signal in an (error) output signal. It will be shown how it is possible to apply both the gain and the phase change of the output signal in CUSUM tests. The method is demonstrated using an example.