Abstract
This article analyzes the finite-time synchronization (FTS) issues of delayed complex-valued neural networks (CVNNs) with uncertain parameters and fractional difference operator. Firstly, a significant lemma is derived based on discrete fractional calculus. The proposed lemma can help us reach FTS and estimate the setting time. Next, two controllers with delay terms are established, respectively. The designed control strategies can effectively remove delay terms. By utilizing the proposed lemma, control strategies and inequality techniques, the conditions for FTS are derived. The setting time has also been estimated. Finally, we present two examples to demonstrate the theoretical results.
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