International Journal of Control, Automation, and Systems 2024; 22(9): 2942-2953
https://doi.org/10.1007/s12555-023-0908-3
© The International Journal of Control, Automation, and Systems
In this article, some synchronization issues for delayed fractional-order fuzzy neural networks (FOFNNs) including uncertain parameters are discussed. To begin with, the complete synchronization (CS) criterion is derived through the adaptive controller. This control strategy can effectively reduce control costs. Next, applying the pinning controller, the CS condition is inferred by controlling partial nodes. Meanwhile, considering the advantages of adaptive and pinning control, an adaptive pinning controller is established to reach CS. Finally, we present some numerical examples to demonstrate the derived criteria.
Keywords Adaptive pinning control, complete synchronization, fuzzy neural networks, uncertain parameters.
International Journal of Control, Automation, and Systems 2024; 22(9): 2942-2953
Published online September 1, 2024 https://doi.org/10.1007/s12555-023-0908-3
Copyright © The International Journal of Control, Automation, and Systems.
Renyu Ye, Xinbin Chen, Hai Zhang*, and Jinde Cao
Anqing Normal University
In this article, some synchronization issues for delayed fractional-order fuzzy neural networks (FOFNNs) including uncertain parameters are discussed. To begin with, the complete synchronization (CS) criterion is derived through the adaptive controller. This control strategy can effectively reduce control costs. Next, applying the pinning controller, the CS condition is inferred by controlling partial nodes. Meanwhile, considering the advantages of adaptive and pinning control, an adaptive pinning controller is established to reach CS. Finally, we present some numerical examples to demonstrate the derived criteria.
Keywords: Adaptive pinning control, complete synchronization, fuzzy neural networks, uncertain parameters.
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