6 terms
Feedback control is the control systems principle in which a robot measures its actual output and continuously corrects its commands to reduce the error.
LQR, the linear-quadratic regulator, is an optimal state-feedback controller that balances state error against control effort using a quadratic cost.
Model predictive control is a robot control method that repeatedly optimizes future actions over a short horizon using a dynamic model and constraints.
Open-loop control drives a robot actuator with commands computed in advance from a model, without measuring the output to correct errors during motion.
PID is a feedback control law that adds proportional, integral and derivative actions on the error to drive a robot joint, wheel or rotor to its…
ROS 2 is an open-source robotics middleware and toolset whose ros2_control framework connects controllers such as PID loops to real robot hardware.