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Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay
We present adaptive neural control design for a class of perturbed nonlinear MIMO time-varying delay systems in a block-triangular form. Based on a neural controller, it is obtained by constructing a quadratic-type Lyapunov-Krasovskii functional, which efficiently avoids the controller singularity....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703331/ https://www.ncbi.nlm.nih.gov/pubmed/23853544 http://dx.doi.org/10.1155/2013/963986 |
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author | Wang, Ruliang Li, Jie Zhang, Shanshan Gao, Dongmei Sun, Huanlong |
author_facet | Wang, Ruliang Li, Jie Zhang, Shanshan Gao, Dongmei Sun, Huanlong |
author_sort | Wang, Ruliang |
collection | PubMed |
description | We present adaptive neural control design for a class of perturbed nonlinear MIMO time-varying delay systems in a block-triangular form. Based on a neural controller, it is obtained by constructing a quadratic-type Lyapunov-Krasovskii functional, which efficiently avoids the controller singularity. The proposed control guarantees that all closed-loop signals remain bounded, while the output tracking error dynamics converge to a neighborhood of the desired trajectories. The simulation results demonstrate the effectiveness of the proposed control scheme. |
format | Online Article Text |
id | pubmed-3703331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-37033312013-07-12 Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay Wang, Ruliang Li, Jie Zhang, Shanshan Gao, Dongmei Sun, Huanlong ScientificWorldJournal Research Article We present adaptive neural control design for a class of perturbed nonlinear MIMO time-varying delay systems in a block-triangular form. Based on a neural controller, it is obtained by constructing a quadratic-type Lyapunov-Krasovskii functional, which efficiently avoids the controller singularity. The proposed control guarantees that all closed-loop signals remain bounded, while the output tracking error dynamics converge to a neighborhood of the desired trajectories. The simulation results demonstrate the effectiveness of the proposed control scheme. Hindawi Publishing Corporation 2013-06-17 /pmc/articles/PMC3703331/ /pubmed/23853544 http://dx.doi.org/10.1155/2013/963986 Text en Copyright © 2013 Ruliang Wang et al. https://creativecommons.org/licenses/by/3.0/ 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 Wang, Ruliang Li, Jie Zhang, Shanshan Gao, Dongmei Sun, Huanlong Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay |
title | Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay |
title_full | Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay |
title_fullStr | Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay |
title_full_unstemmed | Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay |
title_short | Robust Adaptive Control for a Class of Uncertain Nonlinear Systems with Time-Varying Delay |
title_sort | robust adaptive control for a class of uncertain nonlinear systems with time-varying delay |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3703331/ https://www.ncbi.nlm.nih.gov/pubmed/23853544 http://dx.doi.org/10.1155/2013/963986 |
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