WEIGHTED PSEUDO ALMOST PERIODIC SOLUTIONS OF A CLASS OF CHAOTIC NEURAL NETWORKS ON TIME SCALES


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Hajjaji S., Yazgan R., Cherif F.

Applied Analysis and Optimization, cilt.8, sa.1, ss.51-70, 2024 (Hakemli Dergi)

Özet

In this paper, by using the exponential dichotomy of linear dynamic equations on time scales, a fixed point theorem, and the theory of calculus on time scales, we obtain sufficient conditions for the existence, uniqueness, and global exponential stability of weighted pseudo-almost periodic solutions of a class of chaotic neural networks with mixed delays on time scales. Finally, we present examples and numerical simulations to illustrate the feasibility of our results.