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Content available Mittag-Leffler synchronization of generalized fractional-order reaction-diffusion networks via impulsive control
Cao Yang, Dharani S., Sivakumar M., Cader Andrzej, Nowicki Robert
Journal of Artificial Intelligence and Soft Computing Research
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2025
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Vol. 15, No. 1
25--36
EN
This study is devoted to addressing the problem of robust Mittag-Leffler (ML) synchronization for generalized fractional-order reaction-diffusion networks (GFRDNs) with mixed delays and uncertainties. The proposed GFRDNs include local field GFRDNs and static GFRDNs as its special cases. An impulsive controller is intended to achieve synchronization in GFRDNs, which was previously unsolved in integer-order generalized reactiondiffusion neural networks. Novel synchronization criteria as linear matrix inequalities (LMIs) are developed to undertake the ML synchronization beneath investigation. Ensuring conditions can be efficiently solved by means of MATLAB LMI toolbox. Following that, simulations are offered for proving the impact of the findings achieved.
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