Multisynchronization of Interconnected Memristor-Based Impulsive Neural Networks With Fuzzy Hybrid Control
作者： Bin Hu , Zhi-Hong Guan , Xinghuo Yu , Qingming Luo
DOI: 10.1109/TFUZZ.2018.2797952
关键词: Memristor 、 Synchronization 、 Artificial neural network 、 Control theory 、 Human multitasking 、 Fuzzy logic 、 Control (linguistics) 、 Computer science 、 Collective behavior 、 Differential inclusion
摘要: This paper studies a class of heterogeneous delayed impulsive neural networks with memristors and their collective evolution for multisynchronization. The multisynchronization represents diversified behavior that is inspired by multitasking as well observations heterogeneity hybridity arising from system models. In view memristor, the memristor-based network first represented an differential inclusion. According to memristive mechanism, fuzzy logic rule introduced, then, new hybrid switching control method presented correspondingly. It shown using proposed scheme, interconnected can be guaranteed positive exponential convergence rate. in models, thus, indicated obtained error thresholds contribute Numerical examples are compared demonstrate effectiveness developed theoretical results.
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