Predefined‐Time Adaptive Control for Nonlinear Multi‐Agent Systems With Prescribed Performance via Command Filtering and Dynamic Event Triggering
A unified adaptive neural control framework is developed that synergistically combines predefined‐time stabilization, fixed‐time prescribed performance (FTPP) constraints, command‐filtered backstepping, and a dynamic event‐triggering mechanism (DETM), guaranteeing that both transient and steady‐state behaviors rigorous...