Title :
Support Vector Based Novelty Detection for Fault Tolerant Control
Author :
Saludes, Sergio ; Fuente, M.J.
Author_Institution :
Department of Systems Engineering and Control. University of Valladolid, Science Faculty. Prado de la Magdalena s/n 47011 Valladolid, Spain maria@autom.uva.es
Abstract :
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.
Keywords :
Continuous-stirred tank reactor; Control systems; Cost function; Detectors; Fault detection; Fault diagnosis; Fault tolerance; Machine learning; Manufacturing processes; Neural networks;
Conference_Titel :
Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
Print_ISBN :
0-7803-9567-0
DOI :
10.1109/CDC.2005.1583091
