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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

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.
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Sensors and Materials, Volume 34, Number 9(4) (2022)
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


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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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