Unmanned aerial vehicles, especially quadrotors, are increasingly relied upon for tasks ranging from surveillance to delivery. Yet maintaining their stability in unpredictable environments remains a fundamental challenge. External disturbances, modeling errors, and noise can destabilize control systems, leading to degraded performance or even failure. Addressing these challenges requires control strategies that can adapt in real […]