Command Filtered-Based Adaptive Predefined-Time Control for Uncertain Nonlinear Systems With Applications to RLC Circuit

Abstract

This article considers the issue of adaptive fuzzy predefined-time control for nonlinear systems. Fuzzy logic systems (FLSs) are introduced to estimate the uncertain nonlinear functions. The command filter technology is applied to overcome the difficulty of “explosion of complexity”. The error compensation mechanism is adopted to compensate the error generated via command filter. Based on the backstepping technique, a fuzzy adaptive predefined-time command filter control scheme is presented. The presented control strategy demonstrates that all the signals in closed-loop system are bounded and the tracking error can converge to a small area near zero within predefined time. The simulation results illustrate the validity of the developed control strategy.