Approximate optimal control applied to constrained continuos processes

Constrained continuous processes can be optimally controlled through dynamic programming techniques that solve it as a numeric sequence. These techniques are a powerful tool, regardless the nature of the system and its proposed performance index. This technique is a powerful tool, regardless the sys...

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Autores principales: Pucheta, Julián Antonio, Kuchen, Benjamín Rafael, Schugurensky, C., Fullana, R.
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2002
Materias:
Ciencias Informáticas
Control
Electronics
Neural nets
Optimal control
neural network
nonlinear systems
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/22926
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-22926
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
Control
Electronics
Neural nets
Optimal control
neural network
nonlinear systems
spellingShingle Ciencias Informáticas
Control
Electronics
Neural nets
Optimal control
neural network
nonlinear systems
Pucheta, Julián Antonio
Kuchen, Benjamín Rafael
Schugurensky, C.
Fullana, R.
Approximate optimal control applied to constrained continuos processes
topic_facet Ciencias Informáticas
Control
Electronics
Neural nets
Optimal control
neural network
nonlinear systems
description Constrained continuous processes can be optimally controlled through dynamic programming techniques that solve it as a numeric sequence. These techniques are a powerful tool, regardless the nature of the system and its proposed performance index. This technique is a powerful tool, regardless the system’s nature and arbitrary performance index. However, some problems may arise in calculations as the problem dimensionality increases –a factor closely related to the desired accuracy for the numeric solution. An alternative is used here to solve the dimensionality problem, both to approach the performance index and the control law. The present work aims at outlining the approximate optimal control applied to infinite horizon continuous processes. A main contribution is to generate an application methodology that ensures the convergence of the algorithm. Upon obtaining the approximate control law, a comparative analysis of the controller performance demonstrates the potential of the proposed control scheme.
format Objeto de conferencia
Objeto de conferencia
author Pucheta, Julián Antonio
Kuchen, Benjamín Rafael
Schugurensky, C.
Fullana, R.
author_facet Pucheta, Julián Antonio
Kuchen, Benjamín Rafael
Schugurensky, C.
Fullana, R.
author_sort Pucheta, Julián Antonio
title Approximate optimal control applied to constrained continuos processes
title_short Approximate optimal control applied to constrained continuos processes
title_full Approximate optimal control applied to constrained continuos processes
title_fullStr Approximate optimal control applied to constrained continuos processes
title_full_unstemmed Approximate optimal control applied to constrained continuos processes
title_sort approximate optimal control applied to constrained continuos processes
publishDate 2002
url http://sedici.unlp.edu.ar/handle/10915/22926
work_keys_str_mv AT puchetajulianantonio approximateoptimalcontrolappliedtoconstrainedcontinuosprocesses
AT kuchenbenjaminrafael approximateoptimalcontrolappliedtoconstrainedcontinuosprocesses
AT schugurenskyc approximateoptimalcontrolappliedtoconstrainedcontinuosprocesses
AT fullanar approximateoptimalcontrolappliedtoconstrainedcontinuosprocesses
bdutipo_str Repositorios
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