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*
* $Id: vpAdaptiveGain.h 4641 2014-02-05 12:42:03Z fspindle $
*
* This file is part of the ViSP software.
* Copyright (C) 2005 - 2014 by INRIA. All rights reserved.
*
* This software is free software; you can redistribute it and/or
* modify it under the terms of the GNU General Public License
* ("GPL") version 2 as published by the Free Software Foundation.
* See the file LICENSE.txt at the root directory of this source
* distribution for additional information about the GNU GPL.
*
* For using ViSP with software that can not be combined with the GNU
* GPL, please contact INRIA about acquiring a ViSP Professional
* Edition License.
*
* See http://www.irisa.fr/lagadic/visp/visp.html for more information.
*
* This software was developed at:
* INRIA Rennes - Bretagne Atlantique
* Campus Universitaire de Beaulieu
* 35042 Rennes Cedex
* France
* http://www.irisa.fr/lagadic
*
* If you have questions regarding the use of this file, please contact
* INRIA at visp@inria.fr
*
* This file is provided AS IS with NO WARRANTY OF ANY KIND, INCLUDING THE
* WARRANTY OF DESIGN, MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE.
*
*
* Description:
* Adaptive gain.
*
* Authors:
* Nicolas Mansard
*
*****************************************************************************/
/*!
\file vpAdaptiveGain.h
\brief Adaptive gain
*/
#ifndef __VP_ADAPTIVE_GAIN_H
#define __VP_ADAPTIVE_GAIN_H
#include <visp/vpConfig.h>
#include <iostream>
class vpColVector;
/*!
\class vpAdaptiveGain
\ingroup VsTask
\brief Adaptive gain computation.
The formula used to compute the gain is the following :
\f[ \lambda (x) = a * exp (-b*x) + c \f]
where \f$ a \f$, \f$ b \f$ and \f$ c \f$ are constant parameters and \f$ x \f$ is the entry to consider.
The parameters \f$a,b,c\f$ are not set directly. They are computed from three other parameters
\f$\lambda(0), \lambda(\infty), {\dot \lambda}(0)\f$ that are more intuitive to tune:
\f[ a = \lambda(0) - \lambda(\infty) \f]
\f[ b = {\dot \lambda}(0) / a \f]
\f[ c = \lambda(\infty) \f]
where \f$ \lambda(0)\f$ represents the gain when \f$x=0\f$, \f$ \lambda(\infty)\f$ represents the gain when \f$x=\infty\f$
and \f$ {\dot \lambda}(0)\f$ represents the slope of \f$\lambda(x)\f$ when \f$x=0\f$.
*/
class VISP_EXPORT vpAdaptiveGain
{
public: /* constantes */
static const double DEFAULT_LAMBDA_ZERO;
static const double DEFAULT_LAMBDA_INFINITY;
static const double DEFAULT_LAMBDA_SLOPE;
private: /* Attributs*/
/* Coefficient de la fonction de calcul de lambda.
* lambda (x) = a * exp (-b*x) + c. */
double coeff_a;
double coeff_b;
double coeff_c;
/* Derniere valeur calculee. */
mutable double lambda;
public: /* Methodes*/
/* --- CONSTRUCTOR -------------------------------------------------------- */
vpAdaptiveGain ();
vpAdaptiveGain (double c);
vpAdaptiveGain (double gain_at_zero,
double gain_at_infinity,
double slope_at_zero);
/* --- INIT --------------------------------------------------------------- */
void initFromConstant (double c);
void initFromVoid (void);
void initStandard (double gain_at_zero,
double gain_at_infinity,
double slope_at_zero);
/* --- MODIFIORS ---------------------------------------------------------- */
double setConstant (void);
/* --- COMPUTE ------------------------------------------------------------ */
/* \brief Calcule la valeur de lambda au point courrant.
*
* Determine la valeur du lambda adaptatif en fonction de la valeur
* de la norme de la fonction de tache e par extrapolation exponentielle.
* La fonction est : (en_infini - en_zero) * exp (-pente * ||e|| ) + en_infini.
* On a bien :
* - lambda(10^5) = en_infini ;
* - lambda(0) = en_zero ;
* - lambda(x ~ 0) ~ - pente * x + en_zero.
* \param val_e: valeur de la norme de l'erreur.
* \return: valeur de gain au point courrant.
*/
double value_const (double x) const;
/* \brief Calcule la valeur de lambda au point courrant et stockage du
* resultat.
*
* La fonction calcule la valeur de lambda d'apres la valeur de la norme
* de l'erreur, comme le fait la fonction valeur_const.
* La fonction non constante stocke de plus le resultat dans this ->lambda.
* \param val_e: valeur de la norme de l'erreur.
* \return: valeur de gain au point courrant.
*/
double value (double x) const;
double limitValue_const (void) const;
double limitValue (void) const;
/* --- ACCESSORS ---------------------------------------------------------- */
/*!
Gets the last adaptive gain value which was stored in the class.
\return It returns the last adaptive gain value which was stored in the class.
*/
inline double getLastValue (void) const {return this ->lambda;}
double operator() (double x) const;
/* \brief Lance la fonction valeur avec la norme INFINIE du vecteur. */
double operator() (const vpColVector & x) const;
/* \brief Idem function limitValue. */
double operator() (void) const;
/* --- IOSTREAM ----------------------------------------------------------- */
friend VISP_EXPORT std::ostream& operator<< (std::ostream &os, const vpAdaptiveGain& lambda);
};
#endif /* __VP_ADAPTIVE_GAIN_H */
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