Adaptive Fixed‐Time Fuzzy Control for Nonlinear Systems With Full‐State Constraints and Input Saturation

ABSTRACT This paper addresses the problem of adaptive fixed‐time control for nonlinear systems with full‐state constraints and input saturation. A novel adaptive fixed‐time fuzzy control scheme is proposed by integrating the barrier Lyapunov function (BLF) technique with fuzzy logic systems (FLS). Firstly, BLFs are employed to ensure that the full‐state constraints are not violated, while unknown nonlinear functions are effectively approximated by FLS in the controller design. Secondly, an auxiliary signal is introduced to compensate for input saturation effects, and a command filter is incorporated to eliminate computational complexity. Finally, the effectiveness of the proposed control strategy is validated through two simulation examples.