Dynamic event-triggered adaptive fuzzy asymptotic tracking of constrained nonlinear systems with applications

This article investigates the fuzzy event-triggered asymptotic tracking control of nonlinear systems with full state constraints. First, to approximate unknown nonlinearity, the fuzzy logic system is employed. Second, the “explosion of complexity” issue is tackled by developing an improved dynamic surface technique. Additionally, a new Barrier Lyapunov function is introduced to make sure state constraints are not violated. Particularly, an efficient dynamic event-triggered control scheme is presented by introducing an auxiliary dynamic variable, which can not only greatly save communication resources but also achieve asymptotic tracking. Ultimately, validations are illustrated through two simulation examples.