Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks With Time-Varying Delays
نویسندگان
چکیده
In this paper, the adaptive synchronization of fractional-order complex-valued neural networks with time-varying delays (FOCVNNTDs) is investigated. First, two novel differential inequalities time are established, which can be seen as an extension Halanay inequality. Besides, complete and quasi-projective FOCVNNTDs investigated based on using a controller. addition, instead separating into real-valued networks, non-decomposition method adopted to study FOCVNNTDs, avoids difficulty complexity theoretical analysis. Finally, some numerical simulation examples provided demonstrate validity our theory.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3170091