Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações
- Autores
- Coelho, Leandro dos Santos; Coelho, Antonio Augusto Rodrigues
- Año de publicación
- 1997
- Idioma
- portugués
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- In this paper several evolutionary computation paradigms in process identification and control are utilized. The following methodologies are addressed: i) genetic algorithms (with floating point representation), ii) hybrid algorithms composed by genetic algorithms with simulated annealing, and iii) evolution strategies (without and with self-adaptation mechanisms). Experiments in identification were conducted in mono-tank level and temperature processes. Experimental tests in control are conducted in order to find the design parameter of the PID control when controlling a non-linear level process, composed of coupled twin-tanks, which are submitted to reference change and load disturbance, and steering a trailer truck while backing up to a loading dock.
Eje: Workshop sobre Aspectos Teoricos de la Inteligencia Artificial
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
ARTIFICIAL INTELLIGENCE
Algorithms
Applications
genetic algorithms
evolution strategies
process identification
process control
practical application - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/24061
Ver los metadatos del registro completo
id |
SEDICI_0266de13607b096f0bc1e949bb2d1a8d |
---|---|
oai_identifier_str |
oai:sedici.unlp.edu.ar:10915/24061 |
network_acronym_str |
SEDICI |
repository_id_str |
1329 |
network_name_str |
SEDICI (UNLP) |
spelling |
Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicaçõesCoelho, Leandro dos SantosCoelho, Antonio Augusto RodriguesCiencias InformáticasARTIFICIAL INTELLIGENCEAlgorithmsApplicationsgenetic algorithmsevolution strategiesprocess identificationprocess controlpractical applicationIn this paper several evolutionary computation paradigms in process identification and control are utilized. The following methodologies are addressed: i) genetic algorithms (with floating point representation), ii) hybrid algorithms composed by genetic algorithms with simulated annealing, and iii) evolution strategies (without and with self-adaptation mechanisms). Experiments in identification were conducted in mono-tank level and temperature processes. Experimental tests in control are conducted in order to find the design parameter of the PID control when controlling a non-linear level process, composed of coupled twin-tanks, which are submitted to reference change and load disturbance, and steering a trailer truck while backing up to a loading dock.Eje: Workshop sobre Aspectos Teoricos de la Inteligencia ArtificialRed de Universidades con Carreras en Informática (RedUNCI)1997info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/24061info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)porreponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T10:55:41Zoai:sedici.unlp.edu.ar:10915/24061Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 10:55:41.548SEDICI (UNLP) - Universidad Nacional de La Platafalse |
dc.title.none.fl_str_mv |
Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações |
title |
Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações |
spellingShingle |
Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações Coelho, Leandro dos Santos Ciencias Informáticas ARTIFICIAL INTELLIGENCE Algorithms Applications genetic algorithms evolution strategies process identification process control practical application |
title_short |
Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações |
title_full |
Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações |
title_fullStr |
Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações |
title_full_unstemmed |
Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações |
title_sort |
Computação evolucionária em identificação e controle de processos: fundamentos, análise e aplicações |
dc.creator.none.fl_str_mv |
Coelho, Leandro dos Santos Coelho, Antonio Augusto Rodrigues |
author |
Coelho, Leandro dos Santos |
author_facet |
Coelho, Leandro dos Santos Coelho, Antonio Augusto Rodrigues |
author_role |
author |
author2 |
Coelho, Antonio Augusto Rodrigues |
author2_role |
author |
dc.subject.none.fl_str_mv |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Algorithms Applications genetic algorithms evolution strategies process identification process control practical application |
topic |
Ciencias Informáticas ARTIFICIAL INTELLIGENCE Algorithms Applications genetic algorithms evolution strategies process identification process control practical application |
dc.description.none.fl_txt_mv |
In this paper several evolutionary computation paradigms in process identification and control are utilized. The following methodologies are addressed: i) genetic algorithms (with floating point representation), ii) hybrid algorithms composed by genetic algorithms with simulated annealing, and iii) evolution strategies (without and with self-adaptation mechanisms). Experiments in identification were conducted in mono-tank level and temperature processes. Experimental tests in control are conducted in order to find the design parameter of the PID control when controlling a non-linear level process, composed of coupled twin-tanks, which are submitted to reference change and load disturbance, and steering a trailer truck while backing up to a loading dock. Eje: Workshop sobre Aspectos Teoricos de la Inteligencia Artificial Red de Universidades con Carreras en Informática (RedUNCI) |
description |
In this paper several evolutionary computation paradigms in process identification and control are utilized. The following methodologies are addressed: i) genetic algorithms (with floating point representation), ii) hybrid algorithms composed by genetic algorithms with simulated annealing, and iii) evolution strategies (without and with self-adaptation mechanisms). Experiments in identification were conducted in mono-tank level and temperature processes. Experimental tests in control are conducted in order to find the design parameter of the PID control when controlling a non-linear level process, composed of coupled twin-tanks, which are submitted to reference change and load disturbance, and steering a trailer truck while backing up to a loading dock. |
publishDate |
1997 |
dc.date.none.fl_str_mv |
1997 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion Objeto de conferencia http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://sedici.unlp.edu.ar/handle/10915/24061 |
url |
http://sedici.unlp.edu.ar/handle/10915/24061 |
dc.language.none.fl_str_mv |
por |
language |
por |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/ Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:SEDICI (UNLP) instname:Universidad Nacional de La Plata instacron:UNLP |
reponame_str |
SEDICI (UNLP) |
collection |
SEDICI (UNLP) |
instname_str |
Universidad Nacional de La Plata |
instacron_str |
UNLP |
institution |
UNLP |
repository.name.fl_str_mv |
SEDICI (UNLP) - Universidad Nacional de La Plata |
repository.mail.fl_str_mv |
alira@sedici.unlp.edu.ar |
_version_ |
1844615816651210752 |
score |
13.070432 |