WEIGHTED PSEUDO ALMOST PERIODIC SOLUTIONS OF A CLASS OF CHAOTIC NEURAL NETWORKS ON TIME SCALES
Applied Analysis and Optimization, vol.8, no.1, pp.51-70, 2024 (Peer-Reviewed Journal)
- Publication Type: Article / Article
- Volume: 8 Issue: 1
- Publication Date: 2024
- Journal Name: Applied Analysis and Optimization
- Page Numbers: pp.51-70
- Open Archive Collection: AVESIS Open Access Collection
- Van Yüzüncü Yıl University Affiliated: Yes
Abstract
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.