Fuzzy adaptive output constrained control for SISO switched nonlinear systems in pure feedback form

Abstract

A fuzzy adaptive tracking control problem is investigated for a class of single input and single output (SISO) uncertain switched nonlinear systems in pure feedback form and under arbitrary switchings. In the control design, fuzzy logic systems are used to identify the unknown nonlinear switched system, and the adaptive fuzzy output tracking controller and parameter adaptive laws are determinate based on the backstepping control technique. To address output constraint, a barrier Lyapunov function is employed. The obtained strategy can guarantee that all the variables in the closed-loop system are bounded, and the tracking error converges to a neighborhood of zero. Simulation results demonstrate the effectiveness of the proposed approach.