Neuroadaptive event‐triggered prescribed‐time bipartite practical consensus of unknown nonlinear MASs under directed signed graph

This study investigates the problem of prescribed‐time bipartite practical consensus for nonlinear multi‐agent systems (MASs) under directed signed graphs, where the convergence time is designed as a tunable and pre‐assignable parameter, independent of initial conditions. A novel event‐triggered protocol is proposed, whose co‐designed triggering condition replaces continuous communication with intermittent updates, thereby achieving significant communication and energy savings. This control scheme is developed for MASs with bounded nonlinearities. To handle the more challenging case of completely unknown dynamics, a neuroadaptive event‐triggered controller is further designed. Both schemes retain the dual advantages of user‐defined convergence time and resource‐efficient communication. Rigorous theoretical analysis confirms the exclusion of Zeno behavior. The effectiveness of all proposed methods is validated through two simulation examples.