Robust neural network-driven control for multi-agent formation in the presence of Byzantine attacks and time delays

This paper presents an adaptive leader-follower formation control strategy for second-order nonlinear multi-agent systems with unknown dynamics. To handle system uncertainties, we used neural networks (NNs) to approximate and compensate for nonlinear effects. A key feature of our approach is its abi...

Full description

Bibliographic Details

Published in:	AIMS Mathematics
Main Authors:	Asad Khan, Azmat Ullah Khan Niazi, Saadia Rehman, Saba Shaheen, Taoufik Saidani, Adnan Burhan Rajab, Muhammad Awais Javeed, Yubin Zhong
Format:	Article
Language:	English
Published:	AIMS Press 2025-06-01
Subjects:	byzantine attack and time delay multi-agent system second-order nonlinear dynamics formation control adaptive neural networks framework for leader-follower lyapunov stability
Online Access:	https://www.aimspress.com/article/doi/10.3934/math.2025583