User-interface to formulate and solve parameter estimation problems. More...
#include <parameter_estimation_algorithm.hpp>
Public Member Functions | |
| returnValue | getAlgebraicStateVarianceCovariance (DMatrix &xaVar) |
| returnValue | getControlCovariance (DMatrix &uVar) |
| returnValue | getDifferentialStateVarianceCovariance (DMatrix &xVar) |
| returnValue | getDistubanceVarianceCovariance (DMatrix &wVar) |
| returnValue | getParameterVarianceCovariance (DMatrix &pVar) |
| returnValue | getVarianceCovariance (DMatrix &var) |
| ParameterEstimationAlgorithm & | operator= (const ParameterEstimationAlgorithm &arg) |
| ParameterEstimationAlgorithm () | |
| ParameterEstimationAlgorithm (const OCP &ocp_) | |
| ParameterEstimationAlgorithm (const ParameterEstimationAlgorithm &arg) | |
| virtual | ~ParameterEstimationAlgorithm () |
Protected Member Functions | |
| virtual returnValue | initializeNlpSolver (const OCPiterate &_userInit) |
| virtual returnValue | initializeObjective (Objective *F) |
Detailed Description
User-interface to formulate and solve parameter estimation problems.
The class ParameterEstimationAlgorithm serves as a user-interface to formulate and solve parameter estimation problems.
Definition at line 59 of file parameter_estimation_algorithm.hpp.
Constructor & Destructor Documentation
Default constructor.
Definition at line 47 of file parameter_estimation_algorithm.cpp.
| ParameterEstimationAlgorithm::ParameterEstimationAlgorithm | ( | const OCP & | ocp_ | ) |
Default constructor.
Definition at line 54 of file parameter_estimation_algorithm.cpp.
| ParameterEstimationAlgorithm::ParameterEstimationAlgorithm | ( | const ParameterEstimationAlgorithm & | arg | ) |
Copy constructor (deep copy).
Definition at line 61 of file parameter_estimation_algorithm.cpp.
Destructor.
Definition at line 68 of file parameter_estimation_algorithm.cpp.
Member Function Documentation
Method to obtain the variance-coveriance matrix in the optimal solution
(with respect to the parameters)
- Returns:
- SUCCESSFUL_RETURN
Definition at line 122 of file parameter_estimation_algorithm.cpp.
Method to obtain the variance-coveriance matrix in the optimal solution
(with respect to the parameters)
- Returns:
- SUCCESSFUL_RETURN
Definition at line 128 of file parameter_estimation_algorithm.cpp.
Method to obtain the variance-coveriance matrix in the optimal solution
(with respect to the parameters)
- Returns:
- SUCCESSFUL_RETURN
Definition at line 116 of file parameter_estimation_algorithm.cpp.
Method to obtain the variance-coveriance matrix in the optimal solution
(with respect to the parameters)
- Returns:
- SUCCESSFUL_RETURN
Definition at line 134 of file parameter_estimation_algorithm.cpp.
Method to obtain the variance-coveriance matrix in the optimal solution
(with respect to the parameters)
- Returns:
- SUCCESSFUL_RETURN
Definition at line 84 of file parameter_estimation_algorithm.cpp.
Method to obtain the variance-coveriance matrix in the optimal solution
- Returns:
- SUCCESSFUL_RETURN
Definition at line 140 of file parameter_estimation_algorithm.cpp.
| returnValue ParameterEstimationAlgorithm::initializeNlpSolver | ( | const OCPiterate & | _userInit | ) | [protected, virtual] |
Reimplemented from OptimizationAlgorithm.
Definition at line 153 of file parameter_estimation_algorithm.cpp.
| returnValue ParameterEstimationAlgorithm::initializeObjective | ( | Objective * | F | ) | [protected, virtual] |
Reimplemented from OptimizationAlgorithm.
Definition at line 159 of file parameter_estimation_algorithm.cpp.
| ParameterEstimationAlgorithm & ParameterEstimationAlgorithm::operator= | ( | const ParameterEstimationAlgorithm & | arg | ) |
Assignment operator (deep copy).
Definition at line 74 of file parameter_estimation_algorithm.cpp.
The documentation for this class was generated from the following files: