Mathematical Biosciences and Engineering (Mar 2023)
Fixed-deviation stabilization and synchronization for delayed fractional-order complex-valued neural networks
Abstract
In this paper, we study fixed-deviation stabilization and synchronization for fractional-order complex-valued neural networks with delays. By applying fractional calculus and fixed-deviation stability theory, sufficient conditions are given to ensure the fixed-deviation stabilization and synchronization for fractional-order complex-valued neural networks under the linear discontinuous controller. Finally, two simulation examples are presented to show the validity of theoretical results.
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