System decomposition-based stability criteria for Takagi-Sugeno fuzzy uncertain stochastic delayed neural networks in quaternion field

System decomposition-based stability criteria for Takagi-Sugeno fuzzy uncertain stochastic delayed neural networks in quaternion field

Stochastic disturbances often occur in real-world systems which can lead to undesirable system dynamics. Therefore, it is necessary to investigate stochastic disturbances in neural network modeling. As such, this paper examines the stability problem for Takagi-Sugeno fuzzy uncertain quaternion-value...

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Bibliographic Details
Main Authors: R. Sriraman, R. Samidurai, V. C. Amritha, G. Rachakit, Prasanalakshmi Balaji
Format: Article
Language:English
Published: AIMS Press 2023-03-01
Series:AIMS Mathematics
Subjects:
quaternion-valued neural networks
robust stability
stochastic disturbance
lyapunov-krasovskii functional
takagi-sugeno fuzzy
Online Access:https://www.aimspress.com/article/doi/10.3934/math.2023587?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/math.2023587?viewType=HTML

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