Regular Papers

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

Novel Adaptive Pinning Synchronization Criteria for Delayed Caputotype Fuzzy Neural Networks With Uncertain Parameters

Renyu Ye, Xinbin Chen, Hai Zhang*, and Jinde Cao

Anqing Normal University

Abstract

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.

Article

Regular Papers

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.

Novel Adaptive Pinning Synchronization Criteria for Delayed Caputotype Fuzzy Neural Networks With Uncertain Parameters

Renyu Ye, Xinbin Chen, Hai Zhang*, and Jinde Cao

Anqing Normal University

Abstract

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.

IJCAS
September 2024

Vol. 22, No. 9, pp. 2673~2953

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