fr.cnes.sirius.patrius.attitudes.kinematics

Interface OrientationFunction

All Superinterfaces:

UnivariateVectorFunction

All Known Implementing Classes:

AbstractOrientationFunction

public interface OrientationFunction
extends UnivariateVectorFunction

This interface is a time-dependent function representing a generic orientation.

Since:

1.3

Version:

$Id: OrientationFunction.java 18065 2017-10-02 16:42:02Z bignon $

Author:

Tiziana Sabatini

Method Summary

Modifier and Type	Method and Description
OrientationFunction	derivative() Compute the OrientationFunction representing the first derivative of the current orientation function components.
Vector3DFunction	estimateRateFunction(double dt, AbsoluteDateInterval interval) Estimate the Vector3DFunction from the current OrientationFunction using the AngularCoordinates.estimateRate(Rotation, Rotation, double) method.
Rotation	getOrientation(AbsoluteDate date) Get the orientation at a given date.

Methods inherited from interface fr.cnes.sirius.patrius.math.analysis.UnivariateVectorFunction

getSize, value

Method Detail

getOrientation

Rotation getOrientation(AbsoluteDate date)
                 throws PatriusException

Get the orientation at a given date.
The orientation is an instance of the Rotation class.

Parameters:

date - the date

Returns:

the orientation at a given date.

Throws:

PatriusException - if orientation cannot be computed

estimateRateFunction

Vector3DFunction estimateRateFunction(double dt,
                                      AbsoluteDateInterval interval)

Estimate the Vector3DFunction from the current OrientationFunction using the AngularCoordinates.estimateRate(Rotation, Rotation, double) method.

Parameters:

dt - time elapsed between the dates of the two orientations

interval - validity interval of the function (necessary for handling derivatives at boundaries)

Returns:

the spin function.

derivative

OrientationFunction derivative()

Compute the OrientationFunction representing the first derivative of the current orientation function components.
The derivation can be analytical or numerical, depending on the current orientation function.

Returns:

a new OrientationFunction containing the first derivative of the orientation function components.