Adaptive fuzzy fixed-time control for a class of strict-feedback stochastic nonlinear systems

This paper studies fixed-time tracking problems for stochastic nonlinear systems in strict-feedback form. Different from previous results, the practical bounded theorem is given. The unknown functions of are approximated by Fuzzy logic system (FLS) which has a universal approximation. Then using back-stepping method, novel adaptive fuzzy controller designed based on theorem. states guaranteed to converge into an equilibrium point contained compact set semi-globally controller. Finally, numerical example and vehicle model provided illustrate proposed strategy.