代码搜索结果

%PREDICT Measurement prediction of alpha,r-line features. % [LR,HR,HM] = PREDICT(L,XR,CR,CRL) transforms the alpha,r-line % feature L represented in the world frame into the robot frame % given

function [y] = hfun(x,t); % PURPOSE : Measurement model function. % INPUTS : - x: The evaluation point in the domain. % OUTPUTS : - y: The value of the function at x. % AUTHORS : % DATE : if

function [y] = hfun(x,t); % PURPOSE : Measurement model function. % INPUTS : - x: The evaluation point in the domain. % OUTPUTS : - y: The value of the function at x. % AUTHORS : % DATE : if

function [y] = hfun(x,t); % PURPOSE : Measurement model function. % INPUTS : - x: The evaluation point in the domain. % OUTPUTS : - y: The value of the function at x. % AUTHORS : % DATE : if

function [y] = hfun(x,t); % PURPOSE : Measurement model function. % INPUTS : - x: The evaluation point in the domain. % OUTPUTS : - y: The value of the function at x. % AUTHORS : % DATE : if

unit Unit8; interface uses Windows, Messages, SysUtils, Variants, Classes, Graphics, Controls, Forms, Dialogs, StdCtrls, ComCtrls, ExtCtrls, IniFiles; type TfrmSetting = class(TForm)

unit Unit8; interface uses Windows, Messages, SysUtils, Variants, Classes, Graphics, Controls, Forms, Dialogs, StdCtrls, ComCtrls, ExtCtrls, IniFiles; type TfrmSetting = class(TForm)

function [y] = hfun(x,t); % PURPOSE : Measurement model function. % INPUTS : - x: The evaluation point in the domain. % OUTPUTS : - y: The value of the function at x. % AUTHORS : % DATE : if

#ifndef _KALMAN_FILTER_H #define _KALMAN_FILTER_H #include "datasource.h" #include "matrix.h" #include class KalmanFilter { public: //The number of dimensions in signal (ns)

k=3; t=0.5; a0=[1 1 1 1 1 1]'; p0=eye(6); mes_total=6; measurement=[1 2 3 4 5 6;1 2 3 4 5 6]; r=eye(2); yz2=2.5;