Time-Variant Parameter Estimation using a SVM Gray-Box Model: Application to a CSTR Process

Primer Autor
Acuna, Gonzalo
Co-autores
Curilem, Millaray
Título
Time-Variant Parameter Estimation using a SVM Gray-Box Model: Application to a CSTR Process
Editorial
IEEE
Revista
2013 3D INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC)
Lenguaje
en
Resumen
Gray-Box models (GBM) which combine a priori knowledge of a process -e.g. first principle equations-with a black-box modeling technique are useful when some parameters of the first-principle model -normally time-variant parameters cannot be easily determined. In this case the black-box part of the GBM can be used to model the influence of input and state variables on the evolution of those parameters. The most commonly used black-box technique for GBM is Artificial Neural Networks (ANN). However Support Vector Machine (SVM) has shown its usefulness by improving over the performance of different supervised learning methods, either as classification models or as regression models. In this paper, a kind of SVM -the Least-Square Support Vector Machine (LSSVM)- is used to develop a GBM for a Continuous Stirred Tank Reactor (CSTR) process. The aim of the present work is then to build a GBM to estimate a time-varying parameter, rho, of the CSTR process. Good results confirm that SVM can be effectively used for developing GBM to estimate time-varying parameters of non-linear processes like CSTR.
Tipo de Recurso
Artículo de conferencia
doi
10.1109/ICoSC.2013.6750892
Formato Recurso
pdf
Palabras Claves
Gray Box models
Continuous Stirred Tank Reactor
Support Vector Machine
Parameter Estimation
Modelos de caja gris
Reactor de tanque agitado continuo
Máquina de vectores de soporte
Estimación de parámetros
Ubicación del archivo
http://dx.doi.org/10.1109/ICoSC.2013.6750892
Materias
Gray Box models
Continuous Stirred Tank Reactor
Support Vector Machine
Parameter Estimation
Modelos de caja gris
Reactor de tanque agitado continuo
Máquina de vectores de soporte
Estimación de parámetros
Disciplinas de la OCDE
Ingeniería Química
Sistemas de Automatización y Control
Matemáticas Aplicadas
Título de la cita (Recomendado-único)
Time-Variant Parameter Estimation using a SVM Gray-Box Model: Application to a CSTR Process
Revista/Libro
2013 3D INTERNATIONAL CONFERENCE ON SYSTEMS AND CONTROL (ICSC)
Tipo de ruta
suscripción
Access Rights
metadata
Derechos de acceso
metadata
Idioma
en
Identificador del recurso (Mandatado-único)
Artículo de conferencia
Versión del recurso (Recomendado-único)
versión publicada
Lugar de la conferencia(Recomendado-repetible)
3d International Conference on Systems and Control (ICSC)
Fecha de la conferencia(Recomendado-repetible)
OCT 29-31, 2013
Editorial
IEEE
ISBN
978-1-4799-0275-0
Categoría WOS
Sistemas de automatización y control
Informática, Sistemas de información
Automation & Control Systems
Computer Science, Information Systems
Formato
pdf
Id de Web of Science
WOS:000351821600067
Colecciones
Colección Publicaciones Científicas
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