Neural adaptive dynamic event‐triggered practical fixed‐time dynamic surface control for non‐strict feedback nonlinear systems
Heng Li, Tianping Zhang
Abstract
Summary In this article, a dynamic surface practical fixed‐time control scheme is proposed based on dynamic event‐triggered mechanism for a class of non‐strict feedback systems. Dynamic surface control (DSC) technology was introduced to solve computational complexity problems. Dynamic triggering technology is implemented to solve the problem of transmitting data burden. Dynamic triggers have fewer triggers than static triggers. Nonlinear filters are introduced to combine DSC technology with fixed‐time adaptive control technology. Theoretical analysis shows that all signals in the closed‐loop system are bounded at a fixed time. Finally, two numerical simulation examples are given to prove the feasibility of the proposed method.