This paper investigates the problem of adaptive fuzzy tracking control for a category of pure-
feedback nonlinear systems with time-varying delay and unknown dead zone. Fuzzy logic
systems are used to identify unknown functions existing in systems. Mean-value theorem is
introduced to overcome the difficulty arising from the pure-feedback structure in designing
controller. Based on the information of dead-zone slopes, dead zone is handled. Only one
adaptive parameter needs updating online by considering the norm of membership function …

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 …