Cluster Synchronization of Multiple Fractional-Order Recurrent Neural Networks With Time-Varying Delays.
basic_science · Level V
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- Record sourced from PubMed, PMID 34714756.
- Also identified by DOI 10.1109/TNNLS.2021.3121516.
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Abstract
This article focuses on the cluster synchronization of multiple fractional-order recurrent neural networks (FNNs) with time-varying delays. Sufficient criteria are deduced for realizing cluster synchronization of multiple FNNs via a pinning control by applying an extended Halanay inequality applicable for time-delayed fractional-order differential equations. Moreover, an adaptive control applicable for the synchronization of fractional-order systems with time-varying delays is proposed, under which sufficient criteria are derived for realizing cluster synchronization of multiple FNNs with time-varying delays. Finally, two examples are presented to illustrate the effectiveness of the theoretical results.