Fault tolerant SVM based nonlinear Model Predictive Control

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 toleranc...

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Bibliographic Details
Main Authors: Saludes, Sergio, Fuente, M. J.
Format: Conference Proceeding
Language:English
Subjects:
Fault tolerance
Fault Tolerant Control
Fault tolerant systems
Kernel
Mathematical models
Model Predictive Control
Modeling
Nonlinear Control
Nonlinearity
On-line systems
Predictive models
Reactors
Strategy
Support vector machines
Tanks
Training
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Description
Summary: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.
DOI:10.23919/ECC.2007.7068587