Fixed-time feasibility-guaranteed BLF control with full-state constraints and full-error performance under deception attacks and actuator saturation

This paper proposes a singularity-free fixed-time control strategy for nonlinear systems subject to actuator saturation, asymmetric time-varying state constraints, and dual-channel deception attacks. A smooth asymmetric saturation approximation is developed to preserve differentiability while enabling the construction of a feasibility-guaranteed barrier Lyapunov function (FGBLF) framework. Building upon the FGBLF, a unified framework is developed to simultaneously enforce full-state constraints and achieve full-error prescribed performance. To alleviate computational complexity, a fixed-time adaptive dynamic surface filter is incorporated into the design. The proposed control scheme guarantees boundedness of all closed-loop signals and fixed-time convergence of the error dynamics, while maintaining analytical consistency and avoiding singularity issues. Simulation results illustrate the effectiveness and implementation feasibility of the proposed method.