IJCAS

This paper investigates a fuzzy adaptive event-triggered tracking control strategy for nonlinear multiagent systems (MASs) with dead-zone inputs in a directed communication topology. Firstly, a fuzzy adaptive eventtriggered controller is developed, which employs a fuzzy logic system (FLS) to approximate the unknown nonlinear function and uses the upper bound for efficiently compensating the dead-zone nonlinearity of the system. During the iterative process, the "complexity explosion" phenomenon, which occurs in the conventional backstepping method, is successfully solved using a command filter. Furthermore, a variable threshold event-triggered strategy is devised to minimize communication resource wastage, and the occurrence of Zeno behavior is effectively avoided. Finally, the simulation results validate the effectiveness of the algorithm.

Keywords: Adaptive control, event-triggered control, fuzzy logic systems, multi-agent systems.