Event-Based Adaptive Fuzzy Asymptotic Tracking Control of Uncertain Nonlinear Systems

Abstract

This article proposed a novel adaptive ETC framework for asymptotic tracking of uncertain nonlinear systems in the presence of unknown virtual control coefficients (UVCC). More precisely, by introducing some well-defined smooth functions and the bounded estimation approach, the effects caused by the unknown UVCC and uncertainties are counteracted. Moreover, a novel Lyapunov function is constructed such that the asymptotical convergence to zero of the tracking error and boundedness of the closed-loop system are successfully achieved. Effectiveness of the proposed strategies is shown by using a simulation example.