Adaptive fuzzy tracking control for a class of pure-feedback stochastic nonlinear systems with non-lower triangular structure

This paper considers the problem of the adaptive fuzzy tracking control for a class of nonaffine stochastic nonlinear systems without lower triangular form. By using fuzzy logic systems' universal approximation property, an adaptive fuzzy controller is proposed, which guarantees that all the signals in the closed-loop system are bounded in the sense of mean quartic value and the output tracking error eventually converges to a small neighborhood around the origin. Simulation results are provided to illustrate the effectiveness of the proposed scheme.