| cov() const | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |
| estimate() const | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |
| gain() const | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |
| gain_clamp() const | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |
| input(const T &y, const Eigen::Vector< T, NParams > &s) | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |
| ReccursiveLeastSquares(const Eigen::Vector< T, NParams > ¶m_hint=Eigen::Vector< T, NParams >().setOnes(), const Eigen::Matrix< T, NParams, NParams > &cov_hint=(Eigen::Matrix< T, NParams, NParams >::Identity() *T(1000)), T memory=0.99, T cov_regularisation=1e-9) | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |
| set_cov(const Eigen::Matrix< T, NParams, NParams > &cov) | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |
| set_gain_clamp(const T &gain_clamp) | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |
| set_memory(const T &memory) | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |
| set_param(const Eigen::Vector< T, NParams > ¶m) | controlpp::ReccursiveLeastSquares< T, NParams, 1 > | inline |