In the field of Fuzzy Mathematics, Computational Logic and Applied Analysis, actuator saturation limits and time-varying feedback delays induce instability and limit cycles in non-linear industrial control loops. This empirical investigation systematically examines Fuzzy Lyapunov Stability Analysis for Non-Linear Switched Systems with Time-Varying Delays and Actuator Saturation through a multi-stage experimental methodology and rigorous quantitative analytical framework. Utilizing Takagi-Sugeno (T-S) fuzzy modeling, delay-dependent Lyapunov-Krasovskii functionals, and linear matrix inequality (LMI) optimization, data were gathered across multiple operational cycles and validated against established international benchmarks. The statistical and computational results reveal that less conservative stability criteria were proven, guaranteeing asymptotic convergence under 40% wider delay bounds. Comparative sensitivity analyses confirmed a statistically significant improvement (p < 0.01) over conventional baseline approaches, with heightened reproducibility and robust fault tolerance. These comprehensive findings provide actionable theoretical insights and practical implementation guidelines for control systems engineers and industrial automated process designers. Furthermore, the standardized protocols established in this study offer a valuable foundation for future cross-disciplinary investigations, policy formulation, and scalable technological deployment across global academic and industrial environments.