Acute stress response for self-optimizing mechatronic systems

Self-optimizing mechatronic systems react autonomously and flexibly to changing conditions. They are capable of learning and optimize their behavior throughout their life cycle. The paradigm of self-optimization is originally inspired by the behavior of biological systems. The key to the successful...

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Detalles Bibliográficos
Autores principales: Giese, Holger, Montealegre, Norma, Müller, Thomas, Oberthür, Simón, Schulz, Bernd
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2006
Materias:
Ciencias Informáticas
Real-time and embedded systems
self-optimizing
mechatronic systems
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/24011
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-24011
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
Real-time and embedded systems
self-optimizing
mechatronic systems
spellingShingle Ciencias Informáticas
Real-time and embedded systems
self-optimizing
mechatronic systems
Giese, Holger
Montealegre, Norma
Müller, Thomas
Oberthür, Simón
Schulz, Bernd
Acute stress response for self-optimizing mechatronic systems
topic_facet Ciencias Informáticas
Real-time and embedded systems
self-optimizing
mechatronic systems
description Self-optimizing mechatronic systems react autonomously and flexibly to changing conditions. They are capable of learning and optimize their behavior throughout their life cycle. The paradigm of self-optimization is originally inspired by the behavior of biological systems. The key to the successful development of self-optimizing systems is a conceptual design process that precisely describes the desired system behavior. In the area of mechanical engineering, active principles based on physical effects such as friction or lever are widely used to concretize the construction structure and the behavior. The same approach can be found in the domain of software-engineering with software patterns such as the broker-pattern or the strategy pattern. However there is no appropriate design schema for the development of intelligent mechatronic systems covering the needs to fulfill the paradigm of self-optimization. This article proposes such a schema called Active Patterns for Self-Optimization. It is shown how a catalogue of active patterns can be derived from a set of four basic active patterns. This design approach is validated for a networked mechatronic system in a multiagent setting where the behavior is implemented according to a biologically inspired technique – the neuro-fuzzy learning method.
format Objeto de conferencia
Objeto de conferencia
author Giese, Holger
Montealegre, Norma
Müller, Thomas
Oberthür, Simón
Schulz, Bernd
author_facet Giese, Holger
Montealegre, Norma
Müller, Thomas
Oberthür, Simón
Schulz, Bernd
author_sort Giese, Holger
title Acute stress response for self-optimizing mechatronic systems
title_short Acute stress response for self-optimizing mechatronic systems
title_full Acute stress response for self-optimizing mechatronic systems
title_fullStr Acute stress response for self-optimizing mechatronic systems
title_full_unstemmed Acute stress response for self-optimizing mechatronic systems
title_sort acute stress response for self-optimizing mechatronic systems
publishDate 2006
url http://sedici.unlp.edu.ar/handle/10915/24011
work_keys_str_mv AT gieseholger acutestressresponseforselfoptimizingmechatronicsystems
AT montealegrenorma acutestressresponseforselfoptimizingmechatronicsystems
AT mullerthomas acutestressresponseforselfoptimizingmechatronicsystems
AT oberthursimon acutestressresponseforselfoptimizingmechatronicsystems
AT schulzbernd acutestressresponseforselfoptimizingmechatronicsystems
bdutipo_str Repositorios
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