Hierarchical Safe Control of Multiagent Systems With Malicious Attacks Using Adaptive Fault-Tolerant Consensus Control

This article proposed a hierarchical control framework that integrates an upper observer layer and a lower tracking layer. Based on a higher order sliding mode observer (SMO) in the upper layer, a distributed high-order SMO is used to approximate the leader's state, which can also identify some unknown and uncertain terms caused by malicious attacks. For the lower tracking layer, an adaptive fixed-time prescribed performance fault-tolerant control method is leveraged to address the problem of malicious attacks and help the following agent achieve the stable tracking performance. By using the developed method, it is proved that the tracking errors of the multiagent systems can converge into a small neighborhood within the fixed time. Finally, the numerical examples and comparative results illustrate the effectiveness of the proposed control method.