Comparative analysis of neural predictive controllers and its application to a laboratory tank system
Abstract:
In this paper, a novel control strategy based on neural networks is proposed in order to reduce the computation effort of a nonlinear predictive controller. The proposed method is favorably compared with the nonlinear predictive controller and approximated predictive controller based on neural networks. Also, the control strategies are designed and evaluated by simulation tests and in real-time for a laboratory tank system.
Año de publicación:
2004
Keywords:
Fuente:
scopusTipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Sistema de control
- Red neuronal artificial
Áreas temáticas de Dewey:
- Métodos informáticos especiales
- Ingeniería y operaciones afines
- Otras ramas de la ingeniería
Procesado con IAObjetivos de Desarrollo Sostenible:
- ODS 9: Industria, innovación e infraestructura
- ODS 17: Alianzas para lograr los objetivos
- ODS 4: Educación de calidad
Procesado con IA