Observer-based Self-triggered Adaptive Fuzzy Control for Uncertain Nonlinear Systems

Using the backstepping technique, self-triggered tracking for uncertain nonlinear systems (UNS) with unmeasured states, unmatched nonlinearities and unknown disturbances is a pending problem. In this article, we present a control solution to deal with the issue under backstepping frame. First, a fuzzy state observer is established to estimate unmeasured states. Then, the current information is integrated into the self-triggered protocol to determine the next triggered instant, thereby avoiding the need for continuous monitoring of system states. The formulated self-triggered control (STC) scheme provides a feasible solution for UNS. Finally, theoretical findings are authenticated by simulation comparative analysis.