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Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System

This paper deals with adaptive nonlinear identification and trajectory tracking problem for model free nonlinear systems via parametric neural network (PNN). Firstly, a more effective PNN identifier is developed to obtain the unknown system dynamics, where a parameter error driven updating law is sy...

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Detalles Bibliográficos
Autores principales: Fu, Zhijun, Lu, Yan, Zhou, Fang, Guo, Yaohua, Guo, Pengyan, Feng, Heyang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758307/
https://www.ncbi.nlm.nih.gov/pubmed/35035458
http://dx.doi.org/10.1155/2022/4579263
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author Fu, Zhijun
Lu, Yan
Zhou, Fang
Guo, Yaohua
Guo, Pengyan
Feng, Heyang
author_facet Fu, Zhijun
Lu, Yan
Zhou, Fang
Guo, Yaohua
Guo, Pengyan
Feng, Heyang
author_sort Fu, Zhijun
collection PubMed
description This paper deals with adaptive nonlinear identification and trajectory tracking problem for model free nonlinear systems via parametric neural network (PNN). Firstly, a more effective PNN identifier is developed to obtain the unknown system dynamics, where a parameter error driven updating law is synthesized to ensure good identification performance in terms of accuracy and rapidity. Then, an adaptive tracking controller consisting of a feedback control term to compensate the identified nonlinearity and a sliding model control term to deal with the modeling error is established. The Lyapunov approach is synthesized to ensure the convergence characteristics of the overall closed-loop system composed of the PNN identifier and the adaptive tracking controller. Simulation results for an AFS/DYC system are presented to confirm the validity of the proposed approach.
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spelling pubmed-87583072022-01-14 Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System Fu, Zhijun Lu, Yan Zhou, Fang Guo, Yaohua Guo, Pengyan Feng, Heyang Comput Intell Neurosci Research Article This paper deals with adaptive nonlinear identification and trajectory tracking problem for model free nonlinear systems via parametric neural network (PNN). Firstly, a more effective PNN identifier is developed to obtain the unknown system dynamics, where a parameter error driven updating law is synthesized to ensure good identification performance in terms of accuracy and rapidity. Then, an adaptive tracking controller consisting of a feedback control term to compensate the identified nonlinearity and a sliding model control term to deal with the modeling error is established. The Lyapunov approach is synthesized to ensure the convergence characteristics of the overall closed-loop system composed of the PNN identifier and the adaptive tracking controller. Simulation results for an AFS/DYC system are presented to confirm the validity of the proposed approach. Hindawi 2022-01-06 /pmc/articles/PMC8758307/ /pubmed/35035458 http://dx.doi.org/10.1155/2022/4579263 Text en Copyright © 2022 Zhijun Fu et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Fu, Zhijun
Lu, Yan
Zhou, Fang
Guo, Yaohua
Guo, Pengyan
Feng, Heyang
Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System
title Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System
title_full Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System
title_fullStr Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System
title_full_unstemmed Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System
title_short Parametric Neural Network-Based Model Free Adaptive Tracking Control Method and Its Application to AFS/DYC System
title_sort parametric neural network-based model free adaptive tracking control method and its application to afs/dyc system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8758307/
https://www.ncbi.nlm.nih.gov/pubmed/35035458
http://dx.doi.org/10.1155/2022/4579263
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