Title :
Fault tolerant SVM based nonlinear Model Predictive Control
Author :
Saludes, Sergio ; Fuente, M.J.
Author_Institution :
Fundacion Cartif, Parque Tecnol. de Boecillo, Valladolid, Spain
Abstract :
This paper describes a nonlinear Model Predictive Controller (MPC) which uses Support Vector Machines (SVM) as a model of the plant. Both batch and on-line trained SVM are presented. The fault tolerance capabilities of this kind of nonlinear MPC are discussed. A strategy for achieving fault tolerance in this nonlinear MPC based on on-line trained SVM is presented. Results obtained under simulation in a continuous stirred tank reactor are discussed.
Keywords :
chemical reactors; fault tolerant control; nonlinear control systems; predictive control; support vector machines; batch SVM; continuous stirred tank reactor; fault tolerant SVM based nonlinear model predictive control; nonlinear MPC; online trained SVM; support vector machines; Fault tolerance; Fault tolerant systems; Kernel; Modeling; Predictive models; Support vector machines; Training; Fault Tolerant Control; Model Predictive Control; Nonlinear Control; Support Vector Machines;
Conference_Titel :
Control Conference (ECC), 2007 European
Conference_Location :
Kos
Print_ISBN :
978-3-9524173-8-6
