Adaptive Fuzzy 1-Bit Event-Triggered Control for Stochastic Nonlinear Systems

This paper investigates the problem of adaptive fuzzy 1-bit event-triggered control for stochastic nonlinear systems. In our design, we only need to transmit a 1-bit signal (either 1 or 0), whenever the triggering signal is updated. That is, the signal is transmitted between the controller and the actuator in the communication channel. With our proposed control scheme, which can further alleviate the communication burden. Based on the Lyapunov stability analysis, all the closed-loop signals are semi-globally uniformly ultimately bounded (SGUUB). Meanwhile, Zeno behavior can be avoided.