Robust Adaptive Control via Neural Linearization and Compensation

Robust Adaptive Control via Neural Linearization and Compensation

We propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifier-based feedback linearization controller is first used. Dead-zone and projection techniques are applied to assure the stability of neural identification. Then fo...

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Main Authors: Roberto Carmona Rodríguez, Wen Yu
Format: Article
Language:English
Published: Hindawi Limited 2012-01-01
Series:Journal of Control Science and Engineering
Online Access:http://dx.doi.org/10.1155/2012/867178
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spelling doaj-d0b224fd40ae4d619898e3dfd8da01852020-11-25T02:08:45ZengHindawi LimitedJournal of Control Science and Engineering1687-52491687-52572012-01-01201210.1155/2012/867178867178Robust Adaptive Control via Neural Linearization and CompensationRoberto Carmona Rodríguez0Wen Yu1Departamento de Control Automatico, CINVESTAV-IPN, Avenue.IPN 2508, 07360 Mexico City, DF, MexicoDepartamento de Control Automatico, CINVESTAV-IPN, Avenue.IPN 2508, 07360 Mexico City, DF, MexicoWe propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifier-based feedback linearization controller is first used. Dead-zone and projection techniques are applied to assure the stability of neural identification. Then four types of compensator are addressed. The stability of closed-loop system is also proven.http://dx.doi.org/10.1155/2012/867178
collection DOAJ
language English
format Article
sources DOAJ
author Roberto Carmona Rodríguez
Wen Yu
spellingShingle Roberto Carmona Rodríguez
Wen Yu
Robust Adaptive Control via Neural Linearization and Compensation
Journal of Control Science and Engineering
author_facet Roberto Carmona Rodríguez
Wen Yu
author_sort Roberto Carmona Rodríguez
title Robust Adaptive Control via Neural Linearization and Compensation
title_short Robust Adaptive Control via Neural Linearization and Compensation
title_full Robust Adaptive Control via Neural Linearization and Compensation
title_fullStr Robust Adaptive Control via Neural Linearization and Compensation
title_full_unstemmed Robust Adaptive Control via Neural Linearization and Compensation
title_sort robust adaptive control via neural linearization and compensation
publisher Hindawi Limited
series Journal of Control Science and Engineering
issn 1687-5249
1687-5257
publishDate 2012-01-01
description We propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifier-based feedback linearization controller is first used. Dead-zone and projection techniques are applied to assure the stability of neural identification. Then four types of compensator are addressed. The stability of closed-loop system is also proven.
url http://dx.doi.org/10.1155/2012/867178
work_keys_str_mv AT robertocarmonarodriguez robustadaptivecontrolvianeurallinearizationandcompensation
AT wenyu robustadaptivecontrolvianeurallinearizationandcompensation
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