Robust Control is a branch of control theory that focuses on designing systems that can maintain performance despite uncertainties and variations in their environment. It aims to ensure that a system behaves predictably even when faced with unexpected changes, such as disturbances or model inaccuracies. This is particularly important in engineering applications where reliability is crucial. In Robust Control, techniques are developed to analyze and synthesize controllers that can handle a range of conditions. Methods like H-infinity and mu-synthesis are commonly used to create controllers that optimize performance while minimizing the effects of uncertainties. This approach is vital in fields such as aerospace, automotive, and robotics.