LQR

Linear Quadratic Regulator — an optimal control algorithm that computes state-feedback gains minimizing a quadratic cost function on state deviations and control effort. LQR is widely used for balancing tasks (inverted pendulum, bipedal standing) and trajectory stabilization. It requires a linear dynamics model; for nonlinear robots, the system is linearized around operating points (LQR + gain scheduling).