| cov() const | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| cov_regularisation() const | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| estimate() const | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| gain() const | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| gain_clamp() | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| input(const T &y, const Eigen::Matrix< T, NMeasurements, NParams > &s) | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| memory() const | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| ReccursiveLeastSquares(const Eigen::Vector< T, NParams > ¶m_hint=Eigen::Vector< T, NParams >().setOne(), T memory=0.99, T cov_regularisation=1e-9, T gain_clamp=10) | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| set_cov(const Eigen::Matrix< T, NParams, NParams > &cov) | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| set_cov_regularisation(const T ®) | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| set_gain_clamp(const T &gain_clamp) | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |
| set_memory(const T &memory) | controlpp::ReccursiveLeastSquares< T, NParams, NMeasurements > | inline |