Fuzzy Fixed-Time Prescribed-Performance Tracking Control of Nonlinear Systems With Dynamic Event-Triggered Signal

摘要

This article addresses the event-triggered adaptive tracking control issue for a series of uncertain nonlinear systems subject to unknown disturbances. By designing a prescribed-performance controller, the tracking error of the closed-loop system can be bounded in a predetermined allowable range. At the same time, the fixed-time adaptive control scheme combined with fuzzy logic systems can assure that the nonlinear system can be stable in a fixed time without limiting the initial condition. Then, a dynamic event-triggered mechanism is designed to sample the input signal. Through the rigorous proof, we have obtained that the zeno behavior can be effectively avoided. By a numerical example and a robotic arm system, we can conclude that the presented dynamic event-triggered prescribed-performance control technology is feasible, and the simulation verification system can converge within a fixed time frame.