Fuzzy adaptive event-triggered control for a class of uncertain nonlinear systems subject to actuator dead-zone

Abstract

The article inquiries an event-trigger-based adaptive fuzzy state feedback control for indeterminate nonlinear systems comprising input dead-zone. We estimate unknown nonlinear terms containing the uncertain parameter by utilizing fuzzy logic systems (FLSs) . An adaptive controller and an auxiliary system are co-construct to get rid of the impact of dead-zone. The event-triggered control (ETC) algorithm is raised to alleviate the corresponding encumbrance. Furthermore, a variable interval technology is adopted to handle the algebraic ring issue generated by nonstrict-feedback nonlinear systems. The presented control framework can ensure that all closed ring signs are limited. Finally, a practical emulation consequence of an underwater vehicle is developed to certify the availability of the given control project.