Adaptive Control for Stochastic Nonlinear Systems with Dead Zone Output

Abstract

The design of a tracking-constrained-based adaptive controller for a class of stochastic nonlinear systems with dead zone output is developed in this study. In order to deal with the tracking error constraint, a stochastic Barrier Lyapunov function (BLF) is utilized to the adaptive fuzzy backstepping control design. And the Nussbaum-type function is introduced to compensate for the influence of dead zone output. Finally, all the closed-loop signals are remain bounded with the convergence of the tracking error is ensured by the developed controller, and the constraint is satisfied. A simulation example verifies the effectiveness of the control strategy obtained.