Event-Triggered Observer-Based Adaptive Fuzzy Control of Uncertain Multi-agent Systems

This study provides an observer-based event-triggered adaptive fuzzy backstepping control technique aimed at achieving a leader-following consensus consensus for uncertain second-order multi-agent systems (MASs). Fuzzy logic systems are utilized to approximate unknown nonlinear functions, and state observers utilized are to estimate unavailable states. More-over, the feasibility of the proposed event-triggered mechanism with relative threshold is verified in order to reduce transmission frequency while simultaneously ensuring that tracking error converges to a small neighborhood near zero. Ultimately, simulation results confirm the effectiveness of the developed controller.