Adaptive Memory Event-Triggered Observer-Based Control for Nonlinear Multi-Agent Systems Under DoS Attacks

This paper investigates the event-triggered security consensus problem for nonlinear multi-agent systems (MASs) under denial-of-service (DoS) attacks over an undirected graph. A novel adaptive memory observer-based anti-disturbance control scheme is presented to improve the observer accuracy by adding a buffer for the system output measurements. Meanwhile, this control scheme can also provide more reasonable control signals when DoS attacks occur. To save network resources, an adaptive memory event-triggered mechanism (AMETM) is also proposed and Zeno behavior is excluded. It is worth mentioning that the AMETM's updates do not require global information. Then, the observer and controller gains are obtained by using the linear matrix inequality (LMI) technique. Finally, simulation examples show the effectiveness of the proposed control scheme.

Automated summary

This study investigates the event-triggered security consensus problem for nonlinear multi-agent systems under denial-of-service attacks over an undirected graph. An adaptive memory observer-based anti-disturbance control scheme is proposed to improve observer accuracy and provide reasonable control signals during DoS attacks. An adaptive memory event-triggered mechanism is also introduced to save network resources and exclude Zeno behavior, with observer and controller gains obtained using LMI techniques. Simulation results demonstrate the effectiveness of the control scheme.