bitrl & cuberl Documentation
Simulation engine for reinforcement learning agents
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example_21.cpp File Reference
#include "bitrl/bitrl_types.h"
#include "bitrl/estimation/kalman_filter.h"
#include "bitrl/estimation/kf_model_base.h"
#include "bitrl/utils/iteration_counter.h"
#include "bitrl/utils/io/csv_file_writer.h"
#include <boost/log/trivial.hpp>
#include <iostream>
#include <unordered_map>
#include <any>
#include <vector>
#include <random>
Include dependency graph for example_21.cpp:

Classes

struct  example_1::Cmd
 
struct  example_1::MotionModel
 
struct  example_1::ObservationModel
 

Namespaces

namespace  example_1
 

Macros

#define BOOST_LOG_DYN_LINK
 

Typedefs

typedef MotionModel example_1::motion_model_type
 
typedef ObservationModel example_1::obs_motion_type
 

Functions

int main ()
 

Variables

real_t example_1::DT = 1.0
 
real_t example_1::SIM_TIME = 50.0
 
const real_t example_1::STD = 0.1
 
const real_t example_1::MU = -0.37727
 

Macro Definition Documentation

◆ BOOST_LOG_DYN_LINK

#define BOOST_LOG_DYN_LINK

KalmanFilter example. The example is taken from the paper An Introduction to the Kalman Filter by Greg Welch and Gary Bishop

Function Documentation

◆ main()

int main ( )