Multiple-event-triggered adaptive fuzzy output-feedback control for MIMO uncertain nonlinear systems
摘要
The article addresses the output-feedback control issue for a class of multi-input multi-output (MIMO) uncertain nonlinear systems with multiple event-triggered mechanisms (ETM). Compared to previous event-triggering studies, this paper aims to trigger both the output and filtered signals. Unknown nonlinear dynamics are approximated using fuzzy logic systems (FLSs). Then, a novel kind of state observer has been designed to deal with unmeasurable state problems using the triggered output signal. The sampled estimated state, the triggered output signal, and the filtered signal are utilized to propose an event-triggering mechanism that consists of sensor-to-observer (SO) and observer-to-controller (OC). An event-triggered output feedback control approach is given inside backstepping control, whereby the filter may be employed to circumvent the issue of the virtual control function not being differentiable at the trigger time. It is testified that, according to the Lyapunov stability analysis scheme, all closed-loop signals and the system output are ultimately uniformly constrained by our control method. Finally, the simulation examples are performed to confirm the theoretical findings.