Event-Triggered Adaptive Fuzzy Finite-Time Output Feedback Control for Stochastic Nonlinear Systems With Input and Output Constraints

This paper focuses on the problem of designing an adaptive fuzzy event-triggered finite-time output feedback control for stochastic nonlinear systems with input and constraints. A observer is designed to estimate unmeasured states. The quartic asymmetric time-varying barrier Lyapunov function established ensure constraint satisfaction. By utilizing theory, command filtered backstepping method mechanism, a controller recursively designed, which can not only guarantee convergent property, but also reduce communication pressure. Meanwhile, matter “explosion complexity” removed by introducing filter effect errors offset constructing error compensation signals. Moreover, auxiliary system introduced handle constraint. Finally, effectiveness theoretical results demonstrated simulation example.