Controller scheduling using neural networks: Implementation and experimental results

Enrique D. Ferreira, Bruce H. Krogh

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

This paper presents the results of simulation and control experiments using a recently proposed method for real-time switching among a pool of controllers. The switching strategy selects the current controller based on neural network estimates of the future system performance for each controller. This neural-network-based switching controller has been implemented for a simulated inverted pendulum and a level control system for an underwater vehicle in our laboratory. The objectives of the experiments presented here are to demonstrate the feasibility of this approach to switching control for real systems and to identify techniques to deal with practical issues that arise in the training of the neural networks and the real-time switching behavior of the system. This experimental work complements on-going theoretical investigations of the method which will be reported elsewhere.

Idioma originalInglés
Título de la publicación alojadaHybrid Systems V
EditoresPanos Antsaklis, Michael Lemmon, Wolf Kohn, Anil Nerode, Shankar Sastry
EditorialSpringer Verlag
Páginas86-99
Número de páginas14
ISBN (versión impresa)354065643X, 9783540656432
DOI
EstadoPublicada - 1999
Publicado de forma externa
Evento5th International Hybrid Systems Workshop, 1997 - Notre Dame
Duración: 11 set. 199713 set. 1997

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen1567
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia5th International Hybrid Systems Workshop, 1997
País/TerritorioUnited States
CiudadNotre Dame
Período11/09/9713/09/97

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