simulation-metrics

To compute rise time and overshoot from control system simulation data, pass your time and value arrays to the dedicated metric functions to extract rise_time and overshoot_percent directly from the dynamic response.

Settling time and steady-state error are control-system performance metrics extracted from time-series data to evaluate how quickly a dynamic model stabilizes and its final value deviation from the target reference.

Yes, you can use these metrics to evaluate PID and LQR step responses by running the metric functions on the simulation time and value arrays to obtain rise time, overshoot, and settling time.

The best way to quantify overshoot percentage for a robotic control system is applying the overshoot_percent function to your time-series simulation data to measure the peak deviation exceeding the steady-state target value.

No external dependencies are required to calculate steady-state error from simulation results, as the functions operate directly on standard time and value arrays extracted from your engineering dynamic models.

Settling time calculations may return unexpected results for ramp inputs because the functions primarily target step response evaluation in control-system simulations, where stabilization around a fixed steady-state value is expected.