Adaptive Prescribed Tracking Performance Control for a Class of Multi-agent Systems under DoS attacks

This study addresses tracking control for higher-order nonlinear multi-agent systems (MAS) under denial-of-service (DoS) attacks using a novel prescribed tracking error performance control. Combined with dynamic surface control and event-triggered adaptive design, it ensures followers stay within a leader-defined convex set despite attacks. Experimental validation confirms robustness and stable tracking in complex environments, enhancing reliability for practical applications.