Finite/Fixed-Time Synchronization of Delayed Inertial Memristive Neural Networks with Discontinuous Activations and Disturbances
作者:Haibin He, Xiaoyang Liu, Jinde Cao, Nan Jiang
摘要
This paper considers the finite-time and fixed-time synchronization problems for the delayed inertial memristive neural networks (DIMNNs) with disturbances. Different from the existing researches, the activation functions of the investigated models are permitted to be discontinuous. In light of the Filippov solution theory and Lyapunov stability theory, a unified control strategy is designed to achieve both the goals of finite-time and fixed-time synchronization for the DIMNNs. Furthermore, some finite or fixed settling times can be expressed with different control parameters. Finally, the effectiveness of the theoretical results is illustrated by some numerical simulations, and the relationships among disturbances, controllers, and dwell time are revealed as well.
论文关键词:Finite/fixed-time synchronization, Inertial memristive neural networks, Discontinuous activations, Disturbances
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论文官网地址:https://doi.org/10.1007/s11063-021-10552-4