Lijie Wang

TL;DR: An adaptive fuzzy control approach for a category of uncertain nonstrict-feedback systems with input saturation and output constraint is presented, and the simulation results reveal the effectiveness of the proposed approach.

TL;DR: In order to overcome the difficulty of controller design for nonstrict-feedback system in backstepping design process, a variables separation method is introduced and an adaptive fuzzy controller is designed to guarantee all the signals of the resulting closed-loop system to be bounded.

TL;DR: A novel adaptive fuzzy tracking control scheme is developed to guarantee all variables of the closed-loop systems are semiglobally uniformly ultimately bounded, and the tracking error can be adjusted around the origin with a small neighborhood.

TL;DR: An approximation-based adaptive neural controller is constructed for uncertain stochastic nonlinear systems in nonstrict-feedback form appearing dead-zone and output constraint and a barrier Lyapunov function is introduced to ensure that the trajectory of output is limited within a predetermined range.

TL;DR: A novel approach is introduced to tackle unknown functions with nonstrict-feedback structure in the design process, and by introducing an auxiliary system, the input saturation problem can be solved and a novel adaptive fuzzy tracking controller is designed.