Young Researcher Paper Award 2023
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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 35, Number 10(2) (2023)
Copyright(C) MYU K.K.
Copyright(C) MYU K.K.
|
pp. 4571-4584
S&M3415 Related Technologies https://doi.org/10.18494/SAM4451 Published: October 24, 2023 State Synchronous Control for Nerve-cell Systems via Adaptive Faster Finite-time-stabilized Sliding Mode Method [PDF] Ruizhao Yang, Chi-Hsin Yang, Chuanjian Liang, Kun-Chieh Wang, and Hong-Yi Chen (Received April 7, 2023; Accepted September 22, 2023) Keywords: adaptive control, state synchronous control, finite-time stabilization, FitzHugh–Nagumo nerve-cell model, neuronal circuit, sliding mode
Using a novel integral-type faster finite-time-stabilized sliding mode (IFFSSM), we developed an adaptive control scheme for solving the state synchronous control problem for two space-clamped FitzHugh–Nagumo (SFHN) nerve-cell systems under the influence of disturbances. Because of the characteristics of the SFHN nerve-cell model under the principle of electrochemistry, the special stability property of IFFSSM is that two state variables of the system are stabilized in sequence on the sliding surface. Two theorems of the stability were also provided and proven. Numerical experiments were performed. The performance of the proposed control method was validated for the future practical application to neuronal circuits.
Corresponding author: Chi-Hsin Yang  This work is licensed under a Creative Commons Attribution 4.0 International License. Cite this article Ruizhao Yang, Chi-Hsin Yang, Chuanjian Liang, Kun-Chieh Wang, and Hong-Yi Chen, State Synchronous Control for Nerve-cell Systems via Adaptive Faster Finite-time-stabilized Sliding Mode Method, Sens. Mater., Vol. 35, No. 10, 2023, p. 4571-4584. |
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