学位论文简介
In this paper, we point out some interesting future research trends per each design method of the proposed methods demonstrated so far.Future work can be conducted to investigate our design method based approximations in other applications, e.g., signal denoising and control systems.
Future work can be conducted to investigate the effectiveness of the proposed designmethod in other applications, such as edge detection in images and the generation ofsecure single sideband signals for communication.Three avenues for advancement emerge:
(1) extension to multi-order fractional PID controllers with coupled α, β optimization;
(2) integration of tiny machine learning TinyML) for autonomous α tuning;
(3) federated learning across edge nodes to improve generalization. ASIC implementations could further reduce power consumption below 10 mW for energy-harvesting IoT sensors.
主要学术成果
Mmoqbel Mohammed Ali Mohammed, Talal Ahmed Ali Ali, and Zhu Xiao. "Optimal wideband digital fractional-order differentiators using gradient based optimizer." PeerJ Computer Science 10 (2024): e2341.
Mmoqbel Mohammed Ali Mohammed, Talal Ahmed Ali Ali, Zhu Xiao，and Amani Ali Ahmed Ali."Design of efficient generalized digital fractional order differentiators using an improved whale optimization algorithm." PeerJ Computer Science 11 (2025): e2971.
