Support Vector Based Novelty Detection for Fault Tolerant Control

Support Vector Based Novelty Detection for Fault Tolerant Control

This article presents a method for achieving fault tolerant control in the frame of the nonlinear IMC control scheme. The method consists on the minimization of a cost function in order to compute new controller parameters values. In addition to this, a support vector based novelty detector is used...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Saludes, S., Fuente, M.J.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Continuous-stirred tank reactor
Control systems
Cost function
Detectors
Fault detection
Fault diagnosis
Fault tolerance
Machine learning
Manufacturing processes
Neural networks
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Beschreibung
Zusammenfassung:This article presents a method for achieving fault tolerant control in the frame of the nonlinear IMC control scheme. The method consists on the minimization of a cost function in order to compute new controller parameters values. In addition to this, a support vector based novelty detector is used to detect faults in the plant. Simulation results for a continuous stirred tank reactor are presented.
ISSN:0191-2216
DOI:10.1109/CDC.2005.1583091