Datum
2023-07-07Metadata
Zur Langanzeige
Aufsatz
System dynamics monitoring using PIC micro-controller-based PLSE
Zusammenfassung
The permutation largest slope entropy (PLSE) algorithm has been shown to be effective to distinguish between regular and non-regular dynamics from time series analysis. However, as it is the case for many non-linear time series analysis algorithms, such a characterization is locally made and does not allow one to capture some micro-phenomena, such as intermittency, that may occur in the system behavior. This paper presents a PIC micro-controller based implementation of the PLSE for a real-time monitoring of system dynamics. The PLSE algorithm is optimized to fit the program and data memory of low-end processors using the XC8 compiler and the MPLAB X IDE. The resulting algorithm is implemented on the PIC16F18446 and deployed on the Explorer 8 development board. The effectiveness of the developed tool is validated by considering an electrical circuit of the Duffing oscillator that can generate both periodic and chaotic dynamics. By comparing the PLSE values with the phase portraits and previous results on the Duffing oscillator circuit, the developed tool efficiently allows one to monitor the behavior of dynamical systems.
Zitierform
In: Chaos : an interdisciplinary journal of nonlinear science Volume 33 / Issue 7 (2023-07-07) eissn:1089-7682Förderhinweis
Gefördert im Rahmen des Projekts DEALZitieren
@article{doi:10.17170/kobra-202401299466,
author={Eyebe Fouda, Jean Sire Armand and Tagne, Samuel and Koepf, Wolfram and Djeufa Dagoumguel, Guy Morgand},
title={System dynamics monitoring using PIC micro-controller-based PLSE},
journal={Chaos : an interdisciplinary journal of nonlinear science},
year={2023}
}
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2024-02-02T14:58:14Z 2024-02-02T14:58:14Z 2023-07-07 doi:10.17170/kobra-202401299466 http://hdl.handle.net/123456789/15433 Gefördert im Rahmen des Projekts DEAL eng Namensnennung 4.0 International http://creativecommons.org/licenses/by/4.0/ 530 System dynamics monitoring using PIC micro-controller-based PLSE Aufsatz The permutation largest slope entropy (PLSE) algorithm has been shown to be effective to distinguish between regular and non-regular dynamics from time series analysis. However, as it is the case for many non-linear time series analysis algorithms, such a characterization is locally made and does not allow one to capture some micro-phenomena, such as intermittency, that may occur in the system behavior. This paper presents a PIC micro-controller based implementation of the PLSE for a real-time monitoring of system dynamics. The PLSE algorithm is optimized to fit the program and data memory of low-end processors using the XC8 compiler and the MPLAB X IDE. The resulting algorithm is implemented on the PIC16F18446 and deployed on the Explorer 8 development board. The effectiveness of the developed tool is validated by considering an electrical circuit of the Duffing oscillator that can generate both periodic and chaotic dynamics. By comparing the PLSE values with the phase portraits and previous results on the Duffing oscillator circuit, the developed tool efficiently allows one to monitor the behavior of dynamical systems. open access Eyebe Fouda, Jean Sire Armand Tagne, Samuel Koepf, Wolfram Djeufa Dagoumguel, Guy Morgand 9 Seiten doi:10.1063/5.0136234 Zeitreihenanalyse PICmicro publishedVersion eissn:1089-7682 Issue 7 Chaos : an interdisciplinary journal of nonlinear science Volume 33 false 073118
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