control

Control is the engineering of behavior over time: measure a system, compare it with a desired state, and choose inputs that keep the error bounded despite disturbances and imperfect models.

Control is the engineering of behavior over time: measure a system, compare it with a desired state, and choose inputs that keep the error bounded despite disturbances and imperfect models.

Feedback buys robustness by reacting to reality instead of trusting the model. It also creates the possibility of oscillation and instability.

A controller cannot repair missing authority. Sensor delay, actuator saturation, noise, and plant dynamics set physical limits before tuning begins.

The plant, the controller and the closed loop are separated in feedback control; which modes inputs can reach and sensors can see is controllability and observability; vertical drone runs both on one axis.

PID is popular because proportional, accumulated, and anticipatory error cover a remarkable amount of industry with little computation. State-space methods expose more structure when variables interact strongly.

Systems theory : : Control asks how feedback changes the dynamics of an interconnected system Robotics : : Robots close control loops through sensors, computation, and actuators