training_classical_control.plots

Module Contents

Functions

plot_influence_of_K_on_pendulum	Plots the influence of feedback value K for different values of K on the inverted pendulum system.
plot_small_angle_approximation	Plots the small angle approximation to the sine and cosine functions over the range [- pi / 4, pi / 4].
plot_second_order_step_response	Plots step response of an under-damped second order system.
plot_estimator_response	As its name suggests, this function plots the response of an estimator.
plot_inverted_pendulum_results	As its name suggests, this function plots the results of a run of the inverted pendulum environment.

Data

__all__

API

training_classical_control.plots.__all__

[‘plot_influence_of_K_on_pendulum’, ‘plot_small_angle_approximation’, ‘plot_second_order_step_respon…

training_classical_control.plots.plot_influence_of_K_on_pendulum(K_values: list[float] | None = None) → None

Plots the influence of feedback value K for different values of K on the inverted pendulum system.

training_classical_control.plots.plot_small_angle_approximation()

Plots the small angle approximation to the sine and cosine functions over the range [- pi / 4, pi / 4].

training_classical_control.plots.plot_second_order_step_response() → None

Plots step response of an under-damped second order system.

This is used to explain parameter identification for a second order system.

training_classical_control.plots.plot_estimator_response(estimated_response: control.timeresp.TimeResponseData, *, labels: list[str], observations: numpy.typing.NDArray | None = None) → None

As its name suggests, this function plots the response of an estimator.

training_classical_control.plots.plot_inverted_pendulum_results(T: numpy.typing.NDArray, reference: float, observations: numpy.typing.NDArray, actions: numpy.typing.NDArray) → None

As its name suggests, this function plots the results of a run of the inverted pendulum environment.