Fuzzy-based Dynamic Event-triggered Control for Uncertain Nonlinear Systems

It is a pendent problem to accomplish dynamic event-triggered tracking for uncertain nonlinear systems (UNS) with unmeasured state and unmatched control input by feat of backstepping technique. In this article, we present a control solution to deal with the issue under backstepping frame. First, a fuzzy-based state observer is established to estimate unmeasured states of the system. Then, a dynamic variable is integrated into the dynamic event-triggered protocol to achieve dynamic triggering threshold parameter. Such operation can help to further decrease triggering events and economy network resource. The formulated dynamic event-triggered scheme provides a feasible solution for UNS. Finally, theoretical finding is authenticated by simulation comparative analysis.