tigercontrol.models.control.LQR

class tigercontrol.models.control.LQR

Description: Computes optimal set of actions using the Linear Quadratic Regulator algorithm.

__init__()

Initialize self. See help(type(self)) for accurate signature.

Methods

__init__()	Initialize self.
extend(x, T)	Description: If x is not in the correct form, convert it; otherwise, leave it unchanged.
help()	Description: Prints information about this class and its methods.
initialize(F, f, C, c, T, x)	Description: Initialize the dynamics of the model :param F: past value contribution coefficients :type F: float/numpy.ndarray :param f: bias coefficients :type f: float/numpy.ndarray :param C: quadratic cost coefficients :type C: float/numpy.ndarray :param c: linear cost coefficients :type c: float/numpy.ndarray :param T: number of timesteps :type T: postive int :param x: initial state :type x: float/numpy.ndarray
plan()	Description: Updates internal parameters and then returns the estimated optimal set of actions :param None:
predict([x])
to_ndarray(x)	Description: If x is a scalar, transform it to a (1, 1) numpy.ndarray; otherwise, leave it unchanged.
update(**kwargs)

Attributes

compatibles
spec