Adaptive Fuzzy Triggered Output Feedback Control of Nonlinear Systems via Compulsory-Event

Abstract

This article addresses event-triggered tracking control for nonlinear systems in strict-feedback form with triggered output signal. During control design process, system state variables are unavailable except for output variable. Fuzzy state observer is thus built by triggered output and triggered state estimations to produce the available state information. A compulsory event-triggered mechanism is established to determine the moment of online data transmission. Furthermore, only two triggering conditions are set up in sensor-to-controller and controller-to-actuator channels, respectively. Then a triggered output feedback adaptive controller, with the triggered adaptive laws, is designed via backstepping. Notice that both of the virtual and real control signals are discontinuous at each triggering time. So, nonlinear impulsive dynamics approach is used for the closed-loop stability analysis. It is strictly proved that the proposed triggered output feedback adaptive controller guarantees that all closed-loop signals are bounded and the Zeno phenomenon cannot occur. The illustrative simulation is used to authenticate the effectiveness of our proposed strategy.