mrs_lib
Various reusable classes, functions and utilities for use in MRS projects
mrs_lib::LKF< n_states, n_inputs, n_measurements > Member List

This is the complete list of members for mrs_lib::LKF< n_states, n_inputs, n_measurements >, including all inherited members.

Amrs_lib::LKF< n_states, n_inputs, n_measurements >
A_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
Bmrs_lib::LKF< n_states, n_inputs, n_measurements >
B_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
Base_class typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
computeKalmanGain(const statecov_t &sc, [[maybe_unused]] const z_t &z, const R_t &R, const H_t &H) const (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >)mrs_lib::LKF< n_states, n_inputs, n_measurements >inlineprotectedvirtual
correct(const statecov_t &sc, const z_t &z, const R_t &R) const overridemrs_lib::LKF< n_states, n_inputs, n_measurements >inlinevirtual
mrs_lib::KalmanFilter::correct(const statecov_t &sc, const z_t &z, const R_t &R) const =0mrs_lib::KalmanFilter< n_states, n_inputs, n_measurements >pure virtual
correction_impl(const statecov_t &sc, const z_t &z, const R_t &R, const H_t &H) const (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >)mrs_lib::LKF< n_states, n_inputs, n_measurements >inlineprotected
covariance_predict(const A_t &A, const P_t &P, const Q_t &Q, const double dt) (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >)mrs_lib::LKF< n_states, n_inputs, n_measurements >inlineprotectedstatic
Hmrs_lib::LKF< n_states, n_inputs, n_measurements >
H_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
invert_W(R_t W) (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >)mrs_lib::LKF< n_states, n_inputs, n_measurements >inlineprotectedstatic
K_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
LKF()mrs_lib::LKF< n_states, n_inputs, n_measurements >inline
LKF(const A_t &A, const B_t &B, const H_t &H)mrs_lib::LKF< n_states, n_inputs, n_measurements >inline
mmrs_lib::LKF< n_states, n_inputs, n_measurements >static
nmrs_lib::LKF< n_states, n_inputs, n_measurements >static
pmrs_lib::LKF< n_states, n_inputs, n_measurements >static
P_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
predict(const statecov_t &sc, const u_t &u, const Q_t &Q, [[maybe_unused]] double dt) const overridemrs_lib::LKF< n_states, n_inputs, n_measurements >inlinevirtual
mrs_lib::KalmanFilter::predict(const statecov_t &sc, const u_t &u, const Q_t &Q, double dt) const =0mrs_lib::KalmanFilter< n_states, n_inputs, n_measurements >pure virtual
Q_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
R_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
state_predict(const A_t &A, const x_t &x, [[maybe_unused]] const B_t &B, [[maybe_unused]] const u_t &u) (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >)mrs_lib::LKF< n_states, n_inputs, n_measurements >inlineprotectedstatic
state_predict(const A_t &A, const x_t &x, const B_t &B, const u_t &u) (defined in mrs_lib::LKF< n_states, n_inputs, n_measurements >)mrs_lib::LKF< n_states, n_inputs, n_measurements >inlineprotectedstatic
statecov_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
u_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
x_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >
z_t typedefmrs_lib::LKF< n_states, n_inputs, n_measurements >