Zeroing neural networks (ZNNs) have demonstrated outstanding performance on time-varying optimization and control problems. Nonetheless, few studies are committed to illustrating the relationship among different ZNNs and the derivation of them. Therefore, reviewing the advances for a systematical understanding of this field is desirable. This paper provides a survey of ZNNs' progress regarding implementing methods, analysis theory, and practical applications.
@article{arxiv.2507.00387,
title = {A Review on Zeroing Neural Networks},
author = {Chengze Jiang and Jie Gui and Long Jin and Shuai Li},
journal= {arXiv preprint arXiv:2507.00387},
year = {2025}
}
Comments
This is what we submitted to IJCAI 2023. Maybe we will update this paper in the future