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

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.

Automated summary

This article introduces a novel adaptive ETC framework for asymptotic tracking of uncertain nonlinear systems in the presence of unknown virtual control coefficients. The proposed approach effectively counteracts the effects caused by unknown UVCC and uncertainties, achieving successful convergence to zero of the tracking error and boundedness of the closed-loop system, as demonstrated in a simulation example.