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- W4328050461 abstract "Abstract This paper examines the global asymptotic stability of Takagi-Sugeno fuzzy quaternion-valued BAM neural networks with discrete, distributed and leakage delays using non-separation method. By applying Takagi-Sugeno fuzzy models , we first consider a general form of Takagi-Sugeno fuzzy quaternion-valued BAM neural networks with time delays. Then, we apply the Cauchy-Schwarz algorithm and homeomorphism principle in order to establish the existence and uniqueness of the equilibrium point. By using appropriate Lyapunov-Krasovskii functionals and quaternion-valued auxiliary function-based integral inequality, we derive new delay-dependent global asymptotic stability conditions for the considered neural networks. Furthermore, we present our results in terms of quaternion-valued linear matrix inequalities that can be solved in the MATLAB YALMIP toolbox. To demonstrate the validity of the theoretical analysis, we provide two numerical evaluations with simulations." @default.
- W4328050461 created "2023-03-22" @default.
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- W4328050461 date "2023-03-22" @default.
- W4328050461 modified "2023-09-27" @default.
- W4328050461 title "Non-separation method-based global stability criteria for Takagi-Sugeno fuzzy quaternion-valued BAM delayed neural networks using quaternion-valued auxiliary function-based integral inequality" @default.
- W4328050461 doi "https://doi.org/10.21203/rs.3.rs-2711337/v1" @default.
- W4328050461 hasPublicationYear "2023" @default.
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