Changeset 745 for applications/bdmtoolbox/tutorial

Timestamp:

11/28/09 15:07:33 (15 years ago)

Author:

smidl

Message:

examples on windows

Location:

applications/bdmtoolbox/tutorial/userguide

Files:

• arx_ctrl_example.m (modified) (1 diff)
• frg_estim.m (modified) (1 diff)
• pdfds_example.m (modified) (1 diff)

applications/bdmtoolbox/tutorial/userguide/arx_ctrl_example.m

@@ -23 +23 @@
 C1.class = 'LQG_ARX';
 C1.ARX = A1;
-C1.Qu = 0.1*eye(2);
+C1.Qu = 1*eye(2);
 C1.Qy = eye(1);
 C1.yreq = 1;
 C1.horizon = 100;
 
-% participant 1
-Cp1.
+M= controlloop(DS,{C1});
 
-M= controlloop(DS,{C1});
+
+%%%%%%%%%%%%%%%%%%%%%
+%  PLOT
+
+figure;
+subplot(2,1,1);
+plot(M.DS_y);
+subplot(2,1,2);
+hold off 
+plot(M.DS_u1);
+hold on
+plot(M.DS_u2);

applications/bdmtoolbox/tutorial/userguide/frg_estim.m

@@ -19 +19 @@
 phi_pdf.rv    = RV({'phi','1_phi'});       % 2D random walk - frg is the first element
 phi_pdf.k     = 0.01;              % width of the random walk
-phi_pdf.betac = [0.01 0.01];       % stabilizing elememnt of random walk
+phi_pdf.betac = [0.1 0.1];       % stabilizing elememnt of random walk
 
 %%%%%% Combining estimators in Marginalized particle filter

applications/bdmtoolbox/tutorial/userguide/pdfds_example.m

@@ -27 +27 @@
 
 %M=estimator(DS,{},experiment);
-M=simulator(DS,experiment);
+M=estimator(DS,{},experiment);
 
 %%% store results