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Journal of Statistics and Management Systems

(Since 1998)
Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510
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The Journal of Statistics and Management Systems (JSMS) is a world leading journal publishing high quality, rigorously peer-reviewed original research on theoretical and applied statistics and management systems since 1998. The scope is intentionally broad, but papers must make a novel contribution to the field to be considered for publication. Topics include, but are not limited to, the following: • Statistics • Applied Statistics • Industrial Statistics • Statistical Inference • Interdisciplinary role of Statistics • Actuarial Sciences • Decision Sciences • Managerial Aspects • Management Sciences • Management Information Systems

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Journal of Statistics and Management Systems
Open Access Research Article

Bouc-Wen model with machine learning for SISO and MIMO nano-positioning system

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pp. 1365–1376Vol. 26Issue 6September 2023DOI: 10.47974/JSMS-1076XML
Received:
03 Feb 2023
Published Online:
12 Sep 2023
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1076
Pages:
1365–1376

Abstract

Most of the application in present world have taken ‘Nano’ as a part of their near future implementation. In Nano-Positioning System (NPS) mechanical dynamics are handled at Nano scale. Designing a precision NPS is a greater challenge. Modified linearized Bouc-Wen(BW) model gives the better hysteresis, static and dynamic behavior. In this work SISO (Sıngle-input Sıngle-Output) and MIMO (Multiple-Input Multiple-Output) models of NPS are designed. Previously, system was basically designed to handle conventional macro level dynamics and the same has been extended to handle Nano scale in this work. Kalman Filtering is included to achieve very sustainable results in NPS. The NPS is designed in MATLAB/Simulink with 3 types of electrical signals. Each design is compared using various performance parameters. Machine learning process is included to suggest the appropriate input voltage level sui to obtain desired displacement.

Keywords

Bouc-WenKalman filteringSISOMIMONPSMachine learning

Subject Classifications

00A71 General theory of mathematical modeling

Acknowledgements

DG 4975

References

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