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Preview repetitive control for polytopic nonlinear discrete-time systems

In this study, a preview repetitive control (PRC) strategy was developed for uncertain nonlinear discrete-time systems subjected to a previewable periodic reference signal. The proposed preview repetitive controller was designed such that the system output tracked a previewable periodic reference si...

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Detalles Bibliográficos
Autores principales: Li, Li, Jia, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358556/
https://www.ncbi.nlm.nih.gov/pubmed/35542984
http://dx.doi.org/10.1177/00368504221075472
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author Li, Li
Jia, Chen
author_facet Li, Li
Jia, Chen
author_sort Li, Li
collection PubMed
description In this study, a preview repetitive control (PRC) strategy was developed for uncertain nonlinear discrete-time systems subjected to a previewable periodic reference signal. The proposed preview repetitive controller was designed such that the system output tracked a previewable periodic reference signal even with model uncertainties and nonlinear terms. An augmented two-dimensional (2D) model was constructed based on the 2D model approach and state augmented technique. Second, considering the state unmeasured and periodic tracking reference signal, a static output PRC law was designed using the linear matrix inequality (LMI) techniques. Finally, the effectiveness of the proposed controller was verified through two illustrative examples.
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spelling pubmed-103585562023-08-09 Preview repetitive control for polytopic nonlinear discrete-time systems Li, Li Jia, Chen Sci Prog Original Manuscript In this study, a preview repetitive control (PRC) strategy was developed for uncertain nonlinear discrete-time systems subjected to a previewable periodic reference signal. The proposed preview repetitive controller was designed such that the system output tracked a previewable periodic reference signal even with model uncertainties and nonlinear terms. An augmented two-dimensional (2D) model was constructed based on the 2D model approach and state augmented technique. Second, considering the state unmeasured and periodic tracking reference signal, a static output PRC law was designed using the linear matrix inequality (LMI) techniques. Finally, the effectiveness of the proposed controller was verified through two illustrative examples. SAGE Publications 2022-05-11 /pmc/articles/PMC10358556/ /pubmed/35542984 http://dx.doi.org/10.1177/00368504221075472 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Manuscript
Li, Li
Jia, Chen
Preview repetitive control for polytopic nonlinear discrete-time systems
title Preview repetitive control for polytopic nonlinear discrete-time systems
title_full Preview repetitive control for polytopic nonlinear discrete-time systems
title_fullStr Preview repetitive control for polytopic nonlinear discrete-time systems
title_full_unstemmed Preview repetitive control for polytopic nonlinear discrete-time systems
title_short Preview repetitive control for polytopic nonlinear discrete-time systems
title_sort preview repetitive control for polytopic nonlinear discrete-time systems
topic Original Manuscript
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10358556/
https://www.ncbi.nlm.nih.gov/pubmed/35542984
http://dx.doi.org/10.1177/00368504221075472
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