LQR (Linear Quadratic Regulator) is an optimal control technique used to determine the optimal control policy for a linear system with quadratic costs. It finds the control input that minimizes a quadratic cost function, penalizing both state deviations and control effort. LQR is commonly used in robotics, aerospace, and process control to stabilize systems and achieve desired performance.
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