Abstract
This article addresses the exponential synchronization problem for a class of fuzzy inertial memsirtor-based neural networks with mixed time-varying delays (FMINNs). Firstly, the inertial items are described as second-order systems and transformed into first-order systems by utilizing a appropriate variable substitution. Then the fuzzy state-feedback control strategy and fuzzy adaptive control strategy are designed to ensure the exponential synchronization under the framework of Filippov solutions. The exponential synchronization algebraic conditions are obtained by choosing a proper Lyapunov-Krasovskii functional (LKF). Finally, two numerical simulations are provided to validate the effectiveness and benefit of the proposed results.
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