Evolution of neurocontrollers in changing environments

One of the most challenging aspects of the control theory is the design and implementation of controllers that can deal with changing environments, i. e., non stationary systems. Quite good progress has been made on this area by using different kind of models: neural networks, fuzzy systems, evoluti...

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Detalles Bibliográficos
Autores principales: Apolloni, Javier, Kavka, Carlos, Roggero, Patricia
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2002
Materias:
Ciencias Informáticas
evolutionary algorithms
neural networks
control
Algorithms
Neural nets
Environments
ARTIFICIAL INTELLIGENCE
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23039
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23039
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
evolutionary algorithms
neural networks
control
Algorithms
Neural nets
Environments
ARTIFICIAL INTELLIGENCE
spellingShingle Ciencias Informáticas
evolutionary algorithms
neural networks
control
Algorithms
Neural nets
Environments
ARTIFICIAL INTELLIGENCE
Apolloni, Javier
Kavka, Carlos
Roggero, Patricia
Evolution of neurocontrollers in changing environments
topic_facet Ciencias Informáticas
evolutionary algorithms
neural networks
control
Algorithms
Neural nets
Environments
ARTIFICIAL INTELLIGENCE
description One of the most challenging aspects of the control theory is the design and implementation of controllers that can deal with changing environments, i. e., non stationary systems. Quite good progress has been made on this area by using different kind of models: neural networks, fuzzy systems, evolutionary algorithms, etc. Our approach consists in the use of a memory based evolutionary algorithm, specially designed in such a way that can be used to evolve neurocontrollers to be applied in changing environments. In this paper, we describe our architecture, and present an example of its application to a typical control problem.
format Objeto de conferencia
Objeto de conferencia
author Apolloni, Javier
Kavka, Carlos
Roggero, Patricia
author_facet Apolloni, Javier
Kavka, Carlos
Roggero, Patricia
author_sort Apolloni, Javier
title Evolution of neurocontrollers in changing environments
title_short Evolution of neurocontrollers in changing environments
title_full Evolution of neurocontrollers in changing environments
title_fullStr Evolution of neurocontrollers in changing environments
title_full_unstemmed Evolution of neurocontrollers in changing environments
title_sort evolution of neurocontrollers in changing environments
publishDate 2002
url http://sedici.unlp.edu.ar/handle/10915/23039
work_keys_str_mv AT apollonijavier evolutionofneurocontrollersinchangingenvironments
AT kavkacarlos evolutionofneurocontrollersinchangingenvironments
AT roggeropatricia evolutionofneurocontrollersinchangingenvironments
bdutipo_str Repositorios
_version_ 1764820468008747009

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