• Proposes a novel hybrid control algorithm, Variable Stability Control (VSC), integrating backstepping, model predictive control, and model game control to mimic human-like adaptability.
• VSC addresses uncertainty in steer-by-wire systems by dynamically adjusting control parameters via model predictive control and model game control, improving angle tracking performance.
• Experimental validation demonstrates VSC's effectiveness in angle tracking, offering a promising solution for real-world automotive applications.
• The approach highlights the potential of algorithm-hybrid strategies to emulate human decision-making in complex control environments.