290 lines
12 KiB
C
290 lines
12 KiB
C
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/* -------------------------------------------------------------------------- *
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* OpenSim: testSmoothSegmentedFunctionFactory.cpp *
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* -------------------------------------------------------------------------- *
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* The OpenSim API is a toolkit for musculoskeletal modeling and simulation. *
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* See http://opensim.stanford.edu and the NOTICE file for more information. *
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* OpenSim is developed at Stanford University and supported by the US *
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* National Institutes of Health (U54 GM072970, R24 HD065690) and by DARPA *
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* through the Warrior Web program. *
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* *
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* Copyright (c) 2005-2012 Stanford University and the Authors *
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* Author(s): Matthew Millard *
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* *
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* Licensed under the Apache License, Version 2.0 (the "License"); you may *
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* not use this file except in compliance with the License. You may obtain a *
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* copy of the License at http://www.apache.org/licenses/LICENSE-2.0. *
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* *
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* Unless required by applicable law or agreed to in writing, software *
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* distributed under the License is distributed on an "AS IS" BASIS, *
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. *
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* See the License for the specific language governing permissions and *
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* limitations under the License. *
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* -------------------------------------------------------------------------- */
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/*
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Update:
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This is a port of the original code so that it will work with
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the multibody code RBDL written by Martin Felis.
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This also includes additional curves (the Anderson2007 curves)
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which are not presently in OpenSim.
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Author:
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Matthew Millard
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Date:
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Nov 2015
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*/
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/*
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Below is a basic bench mark simulation for the SmoothSegmentedFunctionFactory
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class, a class that enables the easy generation of C2 continuous curves
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that define the various characteristic curves required in a muscle model
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*/
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// Author: Matthew Millard
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//==============================================================================
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// INCLUDES
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//==============================================================================
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#include "../geometry.h"
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#include <UnitTest++.h>
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#include <rbdl/rbdl_math.h>
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#include <ctime>
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#include <string>
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#include <stdio.h>
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#include <exception>
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#include <cassert>
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using namespace RigidBodyDynamics::Addons::Geometry;
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using namespace std;
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static double EPSILON = numeric_limits<double>::epsilon();
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static double SQRTEPSILON = sqrt(EPSILON);
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static double TOL = std::numeric_limits<double>::epsilon()*1e4;
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static bool FLAG_PLOT_CURVES = false;
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static string FILE_PATH = "";
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static double TOL_DX = 5e-3;
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static double TOL_DX_BIG = 1e-2;
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static double TOL_BIG = 1e-6;
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static double TOL_SMALL = 1e-12;
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/**
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This function will print cvs file of the column vector col0 and the matrix
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data
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@params col0: A vector that must have the same number of rows as the data matrix
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This column vector is printed as the first column
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@params data: A matrix of data
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@params filename: The name of the file to print
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*/
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void printMatrixToFile(
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const RigidBodyDynamics::Math::VectorNd& col0,
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const RigidBodyDynamics::Math::MatrixNd& data,
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string& filename);
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/**
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This function will print cvs file of the matrix
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data
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@params data: A matrix of data
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@params filename: The name of the file to print
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*/
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void printMatrixToFile(
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const RigidBodyDynamics::Math::MatrixNd& data,
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string& filename);
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/**
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This function computes a standard central difference dy/dx. If
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extrap_endpoints is set to 1, then the derivative at the end points is
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estimated by linearly extrapolating the dy/dx values beside the end points
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@param x domain vector
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@param y range vector
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@param extrap_endpoints: (false) Endpoints of the returned vector will be
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zero, because a central difference
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is undefined at these endpoints
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(true) Endpoints are computed by linearly
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extrapolating using a first difference from
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the neighboring 2 points
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@returns dy/dx computed using central differences
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*/
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RigidBodyDynamics::Math::VectorNd
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calcCentralDifference( RigidBodyDynamics::Math::VectorNd& x,
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RigidBodyDynamics::Math::VectorNd& y,
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bool extrap_endpoints);
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/**
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This function computes a standard central difference dy/dx at each point in
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a vector x, for a SmoothSegmentedFunction mcf, to a desired tolerance. This
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function will take the best step size at each point to minimize the
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error caused by taking a numerical derivative, and the error caused by
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numerical rounding error:
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For a step size of h/2 to the left and to the right of the point of
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interest the error is
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error = 1/4*h^2*c3 + r*f(x)/h, (1)
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Where c3 is the coefficient of the 3rd order Taylor series expansion
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about point x. Thus c3 can be computed if the order + 2 derivative is
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known
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c3 = (d^3f(x)/dx^3)/(6) (2)
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And r*f(x)/h is the rounding error that occurs due to the central
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difference.
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Taking a first derivative of 1 and solving for h yields
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h = (r*f(x)*2/c3)^(1/3)
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Where r is EPSILON
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@param x domain vector
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@param mcf the SmoothSegmentedFunction of interest
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@param order the order of the numerical derivative
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@param tolerance desired tolerance on the returned result
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@returns dy/dx computed using central differences
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*/
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RigidBodyDynamics::Math::VectorNd
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calcCentralDifference( RigidBodyDynamics::Math::VectorNd& x,
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SmoothSegmentedFunction& mcf,
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double tol, int order);
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/**
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This function tests numerically for continuity of a curve. The test is
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performed by taking a point on the curve, and then two points (called the
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shoulder points) to the left and right of the point in question. The
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shoulder points are located half way between the sample points in xV.
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The value of the function's derivative is evaluated at each of the shoulder
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points and used to linearly extrapolate from the shoulder points back to the
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original point. If the original point and the linear extrapolations of each
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of the shoulder points agree within a tolerance, then the curve is assumed
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to be continuous. This tolerance is evaluated to be the smaller of the 2nd
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derivative times a multiplier (taylorErrorMult) or minValueSecondDerivative
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@param x Values to test for continuity
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@param yx The SmoothSegmentedFunction to test
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@param order The order of the curve of SmoothSegmentedFunction to test
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for continuity
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@param minValueSecondDerivative the minimum value allowed for the 2nd
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term in the Taylor series. Here we need to define a minimum because
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this 2nd term is used to define a point specific tolerance for the
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continuity test. If the 2nd derivative happens to go to zero, we
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still cannot let the minimum error tolerance to go to zero - else
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the test will fail on otherwise good curves.
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@param taylorErrorMult This scales the error tolerance. The default error
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tolerance is the the 2nd order Taylor series term. This term is
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dependent on the size of the higher-order-terms and the sample
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spacing used for xV (since the shoulder points are picked half-
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way between the sampled points)
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*/
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bool isFunctionContinuous( RigidBodyDynamics::Math::VectorNd& xV,
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SmoothSegmentedFunction& yV,
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int order,
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double minValueSecondDerivative,
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double taylorErrorMult);
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/**
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This function will scan through a vector and determine if it is monotonic or
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not
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@param y the vector of interest
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@param multEPS The tolerance on the monotoncity check, expressed as a scaling of
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EPSILON
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@return true if the vector is monotonic, false if it is not
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*/
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bool isVectorMonotonic( RigidBodyDynamics::Math::VectorNd& y,
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int multEPS);
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/**
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This function will compute the numerical integral of y(x) using the trapezoidal
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method
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@param x the domain vector
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@param y the range vector, of y(x), evaluated at x
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@param flag_TrueIntForward_FalseIntBackward
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When this flag is set to true, the integral of y(x) will be evaluated from
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left to right, starting with int(y(0)) = 0. When this flag is false, then
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y(x) will be evaluated from right to left with int(y(n)) = 0, where n is
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the maximum number of elements.
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@return the integral of y(x)
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*/
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RigidBodyDynamics::Math::VectorNd calcTrapzIntegral(
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RigidBodyDynamics::Math::VectorNd& x,
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RigidBodyDynamics::Math::VectorNd& y,
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bool flag_TrueIntForward_FalseIntBackward);
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/**
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@param a The first vector
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@param b The second vector
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@return Returns the maximum absolute difference between vectors a and b
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*/
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double calcMaximumVectorError(RigidBodyDynamics::Math::VectorNd& a,
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RigidBodyDynamics::Math::VectorNd& b);
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/*
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This function tests the SmoothSegmentedFunction to see if it is C2 continuous.
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This function works by using the applying the function isFunctionContinuous
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multiple times. For details of the method used please refer to the doxygen for
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isFunctionContinuous.
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@param mcf - a SmoothSegmentedFunction
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@param mcfSample:
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A n-by-m matrix of values where the first column is the domain (x) of interest
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and the remaining columns are the curve value (y), and its derivatives (dy/dx,
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d2y/dx2, d3y/dx3, etc). This matrix is returned by the function
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calcSampledCurve in SmoothSegmented Function.
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@param continuityTol
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@return bool: true if the curve is C2 continuous to the desired tolernace
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*/
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bool isCurveC2Continuous(SmoothSegmentedFunction& mcf,
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RigidBodyDynamics::Math::MatrixNd& mcfSample,
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double continuityTol);
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/*
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4. The MuscleCurveFunctions which are supposed to be monotonic will be
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tested for monotonicity.
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*/
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bool isCurveMontonic(RigidBodyDynamics::Math::MatrixNd mcfSample);
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/**
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This function compares the i^th derivative return by a SmoothSegmented function
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against a numerical derivative computed using a central difference applied to
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the (i-1)^th derivative of the function. This function first checks the
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1st derivative and continues checking derivatives until the 4th derivative.
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@param mcf - a SmoothSegmentedFunction
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@param mcfSample:
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A n-by-m matrix of values where the first column is the domain (x) of interest
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and the remaining columns are the curve value (y), and its derivatives (dy/dx,
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d2y/dx2, d3y/dx3, etc). This matrix is returned by the function
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calcSampledCurve in SmoothSegmented Function.
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@param tol : the tolerance used to assess the relative error between the
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numerically computed derivatives and the derivatives returned by
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the SmoothSegmentedFunction
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@return bool: true if all of the derivatives up to the 4th (hard coded) are
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within a relative tolerance of tol w.r.t. to the numerically
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computed derivatives
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*/
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bool areCurveDerivativesCloseToNumericDerivatives(
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SmoothSegmentedFunction& mcf,
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RigidBodyDynamics::Math::MatrixNd& mcfSample,
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double tol);
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