E-viri
Recenzirano
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Phuong, Nguyen Thi; Thanh Huyen, Nguyen Thi; Huyen Thu, Nguyen Thi; Sau, Nguyen Huu; Thuan, Mai Viet
International journal of nonlinear sciences and numerical simulation, 11/2023, Letnik: 24, Številka: 7Journal Article
Abstract In this article, we investigate the delay-dependent and order-dependent dissipativity analysis for a class of Caputo fractional-order neural networks (FONNs) subject to time-varying delays. By employing the Razumikhin fractional-order (RFO) approach combined with linear matrix inequalities (LMIs) techniques, a new sufficient condition is derived to guarantee that the considered fractional-order is strictly (Q, S, R) − γ − dissipativity. The condition is presented via LMIs and can be efficiently checked. Two numerical examples and simulation results are finally provided to express the effectiveness of the obtained results.
