Estimators.hpp File Reference

#include <cassert>
#include <fstream>
#include <Eigen/Core>
#include <Eigen/Dense>
#include <tl/expected.hpp>
#include <controlpp/DiscreteTransferFunction.hpp>
#include <controlpp/algorithm.hpp>

Go to the source code of this file.

Classes
class	controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements >
	Calculates the recursive least square for online parameter estimation. More...
class	controlpp::ReccursiveLeastSquares< T, NParams, 1 >
	Calculates the recursive least square for online parameter estimation. More...
class	controlpp::DtfEstimator< T, NumOrder, DenOrder, Measurements >
	Estimates a discrete transfer function from online data points. More...

Namespaces
namespace	controlpp
	The main namespace for the Control++ library.

Enumerations
enum class	controlpp::dft_estimate_error { controlpp::data_ranges_different_lenth , controlpp::data_range_too_small }

Functions
template<class T , int XRows, int XCols, int XOpt, int XMaxRows, int XMaxCols> requires ((XRows >= XCols) || (XRows == Eigen::Dynamic) || (XCols == Eigen::Dynamic))
Eigen::Vector< T, XCols >	controlpp::least_squares (const Eigen::Matrix< T, XRows, XCols, XOpt, XMaxRows, XMaxCols > &X, const Eigen::Vector< T, XRows > &y)
	Solves the overdefined system \(y = X p\) for p.
std::string_view	controlpp::to_string (dft_estimate_error err)
std::ostream &	controlpp::operator<< (std::ostream &stream, dft_estimate_error err)
template<class T , int NumOrder, int DenOrder> requires ((NumOrder != Eigen::Dynamic) && (DenOrder != Eigen::Dynamic))
tl::expected< DiscreteTransferFunction< T, NumOrder, DenOrder >, dft_estimate_error >	controlpp::dft_estimate (const Eigen::Vector< T, Eigen::Dynamic > &u, const Eigen::Vector< T, Eigen::Dynamic > &y, const T &regularization=T(0), const DiscreteTransferFunction< T, NumOrder, DenOrder > &hint=DiscreteTransferFunction< T, NumOrder, DenOrder >({T(0)}, {T(1)}))
	Estimates a discrete time transfer function of a specific order for the input (u) and output (y) data pairs.