代码搜索：identification
找到约 2,626 项符合「identification」的源代码
代码结果 2,626
www.eeworm.com/read/236814/13998127
m chap4_6.m
%CMAC Identification for nonlinear model
clear all;
close all;
xite=1.5;
alfa=0.05;
M=100;
N=7;
C=7;
w=zeros(N,1);
%w=rands(N,1);
w_1=w;
w_2=w;
d_w=w;
u_1=0;
y_1=0;
ts=0.001;
www.eeworm.com/read/203230/15363758
m chap9_3.m
%Self-Correct control based RBF Identification
clear all;
close all;
xite1=0.15;
xite2=0.50;
alfa=0.05;
w=0.5*ones(6,1);
v=0.5*ones(6,1);
cij=0.50*ones(1,6);
bj=5*ones(6,1);
h=zeros(6
www.eeworm.com/read/203230/15363765
m chap8_3.m
%CMAC Identification for nonlinear model
clear all;
close all;
xite=1.5;
alfa=0.05;
M=100;
N=7;
C=7;
w=zeros(N,1);
%w=rands(N,1);
w_1=w;
w_2=w;
d_w=w;
u_1=0;
y_1=0;
ts=0.001;
www.eeworm.com/read/166836/9995445
m ex611b.m
% ex611b.m file.
% System Identification problem for a nonlinear plant
% PenChen Chou, July 28, 2001
% ====== Generate data
Ts=0.001;k1=0:499;k2=500:699;t=Ts*[k1 k2];
u1 = exp(-k1/250).*tan(2*p
www.eeworm.com/read/255577/12073023
m f_rls.m
function [w,e] = f_rls (x,d,m,gamma,delta,w)
%F_RLS: System identification using RLS method
%
% y(k) = w(1)x(k) + w(2)x(k-1) + ... + w(m+1)x(k-m)
%
% Usage: [w,e] = f_lms (x,d,m,gamma,del
www.eeworm.com/read/338523/12295459
m ex611b.m
% ex611b.m file.
% System Identification problem for a nonlinear plant
% PenChen Chou, July 28, 2001
% ====== Generate data
Ts=0.001;k1=0:499;k2=500:699;t=Ts*[k1 k2];
u1 = exp(-k1/250).*tan(2*p
www.eeworm.com/read/255577/12072202
asv f_lms.asv
function [w,e] = f_lms (x,d,m,mu,w)
%F_LMS: System identification using least mean square method
%
% y(k) = w(1)x(k) + w(2)x(k-1) + ... + w(m+1)x(k-m)
%
% Usage: [w,e] = f_lms (x,d,m,mu,w
www.eeworm.com/read/255577/12072285
m f_lms.m
function [w,e] = f_lms (x,d,m,mu,w)
%F_LMS: System identification using least mean square method
%
% y(k) = w(1)x(k) + w(2)x(k-1) + ... + w(m+1)x(k-m)
%
% Usage: [w,e] = f_lms (x,d,m,mu,w
www.eeworm.com/read/230384/14291128
asv f_lms.asv
function [w,e] = f_lms (x,d,m,mu,w)
%F_LMS: System identification using least mean square method
%
% y(k) = w(1)x(k) + w(2)x(k-1) + ... + w(m+1)x(k-m)
%
% Usage: [w,e] = f_lms (x,d,m,mu,w
www.eeworm.com/read/230384/14291156
m f_lms.m
function [w,e] = f_lms (x,d,m,mu,w)
%F_LMS: System identification using least mean square method
%
% y(k) = w(1)x(k) + w(2)x(k-1) + ... + w(m+1)x(k-m)
%
% Usage: [w,e] = f_lms (x,d,m,mu,w