Bayes Filters Library
src
BayesFilters
include
BayesFilters
StateProcess.h
Go to the documentation of this file.
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/*
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* Copyright (C) 2016-2019 Istituto Italiano di Tecnologia (IIT)
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*
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* This software may be modified and distributed under the terms of the
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* BSD 3-Clause license. See the accompanying LICENSE file for details.
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*/
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#ifndef STATEPROCESS_H
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#define STATEPROCESS_H
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#include <
BayesFilters/VectorDescription.h
>
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#include <Eigen/Dense>
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namespace
bfl
{
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class
StateProcess;
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}
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class
bfl::StateProcess
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{
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public
:
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virtual
void
propagate
(
const
Eigen::Ref<const Eigen::MatrixXd>& cur_states, Eigen::Ref<Eigen::MatrixXd> prop_states) = 0;
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virtual
void
motion
(
const
Eigen::Ref<const Eigen::MatrixXd>& cur_states, Eigen::Ref<Eigen::MatrixXd> mot_states) = 0;
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virtual
bool
setProperty
(
const
std::string& property) = 0;
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virtual
VectorDescription
getInputDescription
() = 0;
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virtual
VectorDescription
getStateDescription
() = 0;
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};
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#endif
/* STATEPROCESS_H */
bfl
Port of boost::any for C++11 compilers.
Definition:
AdditiveMeasurementModel.h:13
bfl::StateProcess::setProperty
virtual bool setProperty(const std::string &property)=0
bfl::StateProcess::motion
virtual void motion(const Eigen::Ref< const Eigen::MatrixXd > &cur_states, Eigen::Ref< Eigen::MatrixXd > mot_states)=0
VectorDescription.h
bfl::StateProcess::getStateDescription
virtual VectorDescription getStateDescription()=0
Returns the vector description of the output of the state equation.
bfl::StateProcess::propagate
virtual void propagate(const Eigen::Ref< const Eigen::MatrixXd > &cur_states, Eigen::Ref< Eigen::MatrixXd > prop_states)=0
bfl::StateProcess::getInputDescription
virtual VectorDescription getInputDescription()=0
Returns the vector description of the input to the state equation.
bfl::VectorDescription
Definition:
VectorDescription.h:18
bfl::StateProcess
Definition:
StateProcess.h:20
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