State Space Control is a modern control theory framework that describes dynamic systems as a set of first-order differential equations over an internal state vector, enabling full-state feedback design via techniques such as pole placement, LQR, and model predictive control. Unlike classical frequency-domain methods, state-space representations directly support multi-input multi-output systems, observer design, and optimal control synthesis, making them foundational for robotic and aerospace applications.
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