LQR derives state-feedback gains from a state-space model and a quadratic cost. This primer covers Riccati equations, observability, PID/MPC tradeoffs, robot implementation, numerical intuition, and safety.
September 3, 2026 Control Engineering PrimerModel Predictive Control predicts future behavior with a model, optimizes a constrained input sequence, applies only its first move, and repeats. This primer covers equations, tuning, safety, implementation, and current examples.
September 3, 2026 Control Engineering PrimerPID is not merely three gains. This primer connects its intuition and equations to sampling, saturation, anti-windup, tuning, safety, ROS 2, and real implementation checks.