Event-Triggered Anti-disturbance Tracking Control for Systems with Exogenous Disturbances

A novel event-triggered anti-disturbance PI control strategy for nonlinear systems is studied in this essay. Firstly, the general method of event-triggered control is extended, and the event-triggered mechanism is leaded into the control system. Secondly, the designed observer is used to estimate the external disturbances. Then, by combining the state feedback with disturbance estimation, a PI-type dynamic tracking controller is introduced to ensure that the output tracking error approaches zero. What’s more, the Lyapunov function model is established, and the relevant theorem is proved. In addition, by solving the lower bound of the minimum trigger time interval to be greater than zero, it is guaranteed that the Zeno phenomenon in the event-triggered mechanism can be avoided. Finally, the A4D model is simulated, which proves the algorithm is effective.

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