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Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
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Sensors and Materials
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is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.
Instructions to authors
English 日本語
Instructions for manuscript preparation
English 日本語
Template
English
Publisher
MYU K.K.
Sensors and Materials
1-23-3-303 Sendagi,
Bunkyo-ku, Tokyo 113-0022, Japan
Tel: 81-3-3827-8549
Fax: 81-3-3827-8547
MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.
MYU Research
(proofreading and recording)
MYU K.K.
(translation service)
The Art of Writing Scientific Papers
(How to write scientific papers)
(Japanese Only)
Sensors and Materials, Volume 34, Number 9(4) (2022)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 3607-3621
S&M3064 Research Paper of Special Issue https://doi.org/10.18494/SAM4023 Published: September 29, 2022 Synchronizations of Nerve-cell Systems via Adaptive Integral-type Quick-time Stabilized Sliding Mode Control Approach [PDF] Deqian Zhang, Chi-Hsin Yang, Ruiwei Li, Pu Li, and Kun-Chieh Wang (Received July 4, 2022; Accepted September 15, 2022) Keywords: synchronization, integral-type quick-time stabilized sliding mode, adaptive control, space-clamped FitzHugh–Nagumo (SFHN) neuron, voltage-sensing equipment
Adaptive sliding mode control with an online updated gain algorithm based on a newly defined integral-type quick-time stabilized sliding mode (IQSSM) is proposed for complete or anti-synchronization between two nerve-cell systems, despite the influences of system uncertainties and external disturbances. The global and quick finite-time stability for the IQSSM is proven to support the hypothesis that the overall designed closed-loop control system can achieve the control goal. Moreover, the proposed control scheme can solve two kinds of control problems for synchronization simply by suitably tuning the design parameters. The developed control schemes can be implemented by a hardware circuit with voltage-sensing equipment.
Corresponding author: Chi-Hsin Yang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Deqian Zhang, Chi-Hsin Yang, Ruiwei Li, Pu Li, and Kun-Chieh Wang, Synchronizations of Nerve-cell Systems via Adaptive Integral-type Quick-time Stabilized Sliding Mode Control Approach, Sens. Mater., Vol. 34, No. 9, 2022, p. 3607-3621. |
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