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Please use this identifier to cite or link to this item: https://dspace.ucuenca.edu.ec/handle/123456789/45989
Title: Approximate modeling of dynamical systems applying HAVOK: A systematic review
Authors: Minchala Avila, Luis Ismael
metadata.dc.ucuenca.correspondencia: Minchala Avila, Luis Ismael, ismael.minchala@ucuenca.edu.ec
Keywords: Dynamical systems
Hankel
System modeling
Surrogate modeling
Koopman
HAVOK
Chaotic systems
Control systems
Fault detection
metadata.dc.ucuenca.areaconocimientofrascatiamplio: 2. Ingeniería y Tecnología
metadata.dc.ucuenca.areaconocimientofrascatidetallado: 2.2.3 Sistemas de Automatización y Control
metadata.dc.ucuenca.areaconocimientofrascatiespecifico: 2.2 Ingenierias Eléctrica, Electrónica e Información
metadata.dc.ucuenca.areaconocimientounescoamplio: 06 - Información y Comunicación (TIC)
metadata.dc.ucuenca.areaconocimientounescodetallado: 0612 - Base de Datos, Diseno y Administración de Redes
metadata.dc.ucuenca.areaconocimientounescoespecifico: 061 - Información y Comunicación (TIC)
Issue Date: 2023
metadata.dc.ucuenca.embargoend: 31-Dec-2050
metadata.dc.ucuenca.volumen: Volumen 0, número 0
metadata.dc.source: 1st IEEE Colombian Caribbean Conference, C3 2023
metadata.dc.identifier.doi: 10.1109/C358072.2023.10436253
Publisher: IEEE
metadata.dc.description.city: 
Barranquilla
metadata.dc.type: ARTÍCULO DE CONFERENCIA
Abstract: 
Systems modeling has played a crucial role in understanding and solving complex real-world problems, some of which can be computationally expensive. To address this issue, surrogate modeling reduces the dimensionality of such problems, enabling less processor-consuming solutions. One method within surrogate modeling is the Hankel alternative view of Koopman (HAVOK) method, which allows the decomposition of chaotic dynamics into a linear model with intermittent forcing. However, the application of this approach in the field of control systems, particularly within the framework of fault-tolerant control systems, still needs to be explored. This paper aims to present a systematic review of the literature on surrogate modeling applied to control systems, focusing on three specific inquiries. First, the study investigates the surrogate modeling methods commonly used in fault detection and diagnosis. Second, it explores the surrogate modeling methods predominantly utilized in describing chaotic phenomena and dynamical systems. Lastly, the paper explores the potential of applying the HAVOK method to control and model system faults. A comprehensive search yielded 75 relevant articles published in the last five years. From this pool, 12 articles were selected for review. The findings revealed that the full implementation of the HAVOK method in control and fault prediction has not yet been realized.
URI: https://dspace.ucuenca.edu.ec/handle/123456789/45989
https://www.scopus.com/record/display.uri?eid=2-s2.0-85186758189&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=TITLE-ABS-KEY%28Approximate+modeling+of+dynamical+systems+applying+HAVOK%29
metadata.dc.ucuenca.urifuente: https://ieeexplore.ieee.org/xpl/conhome/10436122/proceeding
ISBN: 979-835034179-9
ISSN: 0000-0000
Appears in Collections:Artículos

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