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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 35, Number 10(2) (2023)
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


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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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