Tried implementing Newton’s Method in MATLAB, but receiving this error regarding indexing. Not sure what this means or how to fix it.Tried implementing Newton’s Method in MATLAB, but receiving this error regarding indexing. Not sure what this means or how to fix it. Tried implementing Newton’s Method in MATLAB, but receiving this error regarding indexing. Not sure what this means or how to fix it. function, matlab code, matlab, error MATLAB Answers — New Questions

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I cannot start a parallel pool in MATLAB.
How can I validate that my cluster profile is configured correctly?I cannot start a parallel pool in MATLAB.
How can I validate that my cluster profile is configured correctly? I cannot start a parallel pool in MATLAB.
How can I validate that my cluster profile is configured correctly?  MATLAB Answers — New Questions

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Hello, \trying to run AutoCAD from MATLAB.

Tried the code proposed here
https://www.mathworks.com/matlabcentral/answers/1921990-using-the-matlab-net-interface-to-interact-with-autocad
Unfortunately I got this error
Error using dotnetAutoCADExample
Message: Call was rejected by callee. (Exception from HRESULT: 0x80010001 (RPC_E_CALL_REJECTED))
Source: Autodesk.AutoCAD.Interop
HelpLink: None

The topic was closed so I was not able to ask questions there.
Any useas?
What I need to do is plot some objects based on numbers calculated in a loop in MATLAB

Thank youHello, \trying to run AutoCAD from MATLAB.

Tried the code proposed here
https://www.mathworks.com/matlabcentral/answers/1921990-using-the-matlab-net-interface-to-interact-with-autocad
Unfortunately I got this error
Error using dotnetAutoCADExample
Message: Call was rejected by callee. (Exception from HRESULT: 0x80010001 (RPC_E_CALL_REJECTED))
Source: Autodesk.AutoCAD.Interop
HelpLink: None

The topic was closed so I was not able to ask questions there.
Any useas?
What I need to do is plot some objects based on numbers calculated in a loop in MATLAB

Thank you Hello, \trying to run AutoCAD from MATLAB.

Tried the code proposed here
https://www.mathworks.com/matlabcentral/answers/1921990-using-the-matlab-net-interface-to-interact-with-autocad
Unfortunately I got this error
Error using dotnetAutoCADExample
Message: Call was rejected by callee. (Exception from HRESULT: 0x80010001 (RPC_E_CALL_REJECTED))
Source: Autodesk.AutoCAD.Interop
HelpLink: None

The topic was closed so I was not able to ask questions there.
Any useas?
What I need to do is plot some objects based on numbers calculated in a loop in MATLAB

Thank you matlab, autocad, api MATLAB Answers — New Questions

​

I have a A= 7382300X12 matrix. I want to reduce it by averaging every 1000 rows in all columns. So at the end I will have a B= 73823X12 matrix.
The matrix A have negative and positive decimals, so blockproc() didn’t work for me.

How can I do it?I have a A= 7382300X12 matrix. I want to reduce it by averaging every 1000 rows in all columns. So at the end I will have a B= 73823X12 matrix.
The matrix A have negative and positive decimals, so blockproc() didn’t work for me.

How can I do it? I have a A= 7382300X12 matrix. I want to reduce it by averaging every 1000 rows in all columns. So at the end I will have a B= 73823X12 matrix.
The matrix A have negative and positive decimals, so blockproc() didn’t work for me.

How can I do it? matrix manipulation MATLAB Answers — New Questions

​

How can I generate a 32-bit SO file with a supported GCC compiler for a Simulink model on 64-bit Linux? I have followed this example to generate a 32-bit DLL on Windows, but I couldn’t find an example for Linux environment:
https://www.mathworks.com/help/coder/ug/build-32-bit-dll-on-64-bit-windows-platform-using-msvc-toolchain.htmlHow can I generate a 32-bit SO file with a supported GCC compiler for a Simulink model on 64-bit Linux? I have followed this example to generate a 32-bit DLL on Windows, but I couldn’t find an example for Linux environment:
https://www.mathworks.com/help/coder/ug/build-32-bit-dll-on-64-bit-windows-platform-using-msvc-toolchain.html How can I generate a 32-bit SO file with a supported GCC compiler for a Simulink model on 64-bit Linux? I have followed this example to generate a 32-bit DLL on Windows, but I couldn’t find an example for Linux environment:
https://www.mathworks.com/help/coder/ug/build-32-bit-dll-on-64-bit-windows-platform-using-msvc-toolchain.html 32-bit, so, shared, library, linux MATLAB Answers — New Questions

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Why do I receive a License Manager Error -4 when running a job in Polyspace Bug Finder, either locally or on a remote Code Prover server?Why do I receive a License Manager Error -4 when running a job in Polyspace Bug Finder, either locally or on a remote Code Prover server? Why do I receive a License Manager Error -4 when running a job in Polyspace Bug Finder, either locally or on a remote Code Prover server?  MATLAB Answers — New Questions

​

I built a custom component (first time I’ve tried this) containing two Axes objects as well as some text fields. Here’s a picture. I’ve been having some problems.

1. These graphs appear one size in the editor, and larger when an instance of my component is inserted into my app. (Compare the relative size of the graph to the text fields, in the picture above in the picture below.)
2. Some fraction of the time, when I run the app, the Axes objects don’t appear at all, although the other parts of the custom component do.

Is this a known bug? Is this usage of Axes objects a hopeless mess? Or is there some way I can tweak it to get around this problem.

Component embedded in app:

App running:I built a custom component (first time I’ve tried this) containing two Axes objects as well as some text fields. Here’s a picture. I’ve been having some problems.

1. These graphs appear one size in the editor, and larger when an instance of my component is inserted into my app. (Compare the relative size of the graph to the text fields, in the picture above in the picture below.)
2. Some fraction of the time, when I run the app, the Axes objects don’t appear at all, although the other parts of the custom component do.

Is this a known bug? Is this usage of Axes objects a hopeless mess? Or is there some way I can tweak it to get around this problem.

Component embedded in app:

App running: I built a custom component (first time I’ve tried this) containing two Axes objects as well as some text fields. Here’s a picture. I’ve been having some problems.

1. These graphs appear one size in the editor, and larger when an instance of my component is inserted into my app. (Compare the relative size of the graph to the text fields, in the picture above in the picture below.)
2. Some fraction of the time, when I run the app, the Axes objects don’t appear at all, although the other parts of the custom component do.

Is this a known bug? Is this usage of Axes objects a hopeless mess? Or is there some way I can tweak it to get around this problem.

Component embedded in app:

App running: appdesigner, customcomponent, axes MATLAB Answers — New Questions

​

My ohmic overpotential curve, concentration overpotential curve and cell j-v curve are suppose to be flipped meaning my voltage is meant to decrease when my current density increases (negative gradient)
clc;
clear;
%Variables
m=15;
k = 15;
a_anode = 0.54; %transfer coefficient at anode
a_cathode = 0.52; %transfer coeffiecent at cathode
R = 8.314;%Gas constant
F = 96485;%Faraday constant
T = 300; %Temperature of cell
A_electrodes = 2; %area of electrodes
R_in = A_electrodes*2.5; %Internal resistance of the cell
n_anode = 2; %moles per reactant at the anode
n_cathode =4;%moles per reactant at the cathode
D_anode = 2.4e-6; %diffusion coefficient of glucose in bird
D_cathode = 1.8e-5;%diffusion coefficient of oxygen in bird
d_l_a = 0.005; %diffsuion layer thickness anode
d_l_c= 0.005 ;%diffsuion layer thickness cathode
j = linspace(0.0e-3,0.7e-3,k);%Current density of the cell
jT = j’;
C_s_anode = 5.55e-8; %concentration of reactant at the catalyst
C_s_cathode = 1.71e-8; %concentration of reactant at the catalyst
A_anode = 2; %active area of electrode
A_cathode = 2; %active area of electrode
row = 0.005; %diffusion distance
e = 0.4;%porosity of the structure
D_ij_anode = 9.5e-6; %binary diffusion coefficient(glucose in human dura mater)
D_ij_cathode = 1.8e-5;%Diffsuion coefficent of oxyegen in plain medium
i_ref_a = 3.5e-3; %anode reference exchange current density
L_anode = 0.3; %catalyst loading anode
P_anode = 2130; %Pressure at anode
P_ref_anode = 1.2; %reference pressure at the anode
T_ref_anode = 298; %reference temperature at anode
i_ref_c = 1.95e5; %anode reference exchange current density
L_cathode = 0.3; %catalyst loading anode
P_cathode = 50; %Pressure at anode
P_ref_cathode = 700; %reference pressure at the anode
T_ref_cathode = 298; %reference temperature at anode
%————————————————————————–
%Effective exchange current density
%Anode
i0_a = i_ref_a * A_anode * L_anode *(P_anode/P_ref_anode)^0.5 *(-(130/R*T)*(1-(T/T_ref_anode)));

%Cathode
i0_c = i_ref_c * A_cathode * L_cathode *(P_cathode/P_ref_cathode)^1 *(-(66/R*T)*(1-(T/T_ref_cathode)));

%————————————————————————–
%Activation Overpotential
%Anode
V_act_a = (R*T)/(a_anode*n_anode*F)*log(j/i0_a);%activation potential at anode
V_act_anode = abs(V_act_a);
display(V_act_anode)
%Cathode
V_act_c = (R*T)/(a_cathode*n_cathode*F)*log(j/i0_c);%activation potential at cathode
V_act_cathode = abs(V_act_c);
display(V_act_cathode)

%Total activation overpotential
V_act = V_act_cathode + V_act_anode;
display(V_act)
%J-V curve
figure
plot(j,V_act)
title(‘J-V Vact curve’)
xlabel(‘Current density’)
ylabel(‘Activation overpotential’)
%————————————————————————–
%Ohmic overpotential
%R_cell_anode = Rin .* A_anode; %resisitance of fuel cell
%R_cell_cathode = Rin .* A_cathode; %resisitance of fuel cell
%R_cell = R_cell_anode + R_cell_cathode;
V_ohm = j .* R_in;%ohmic overpotential of cell
display(V_ohm)
%J-V curve
figure
plot(j,V_ohm)
title(‘J-V ohmic curve’)
xlabel(‘Current density’)
ylabel(‘Ohmic overpotential’)
%————————————————————————–
%Determining glucose concentration
%Anode
J_diff_anode = j/(n_anode*F);%diffusion flux of reactants
display(J_diff_anode)

D_eff_anode = (e^1.5) * D_ij_anode;%effective reactant diffusivity
display(D_eff_anode)

C_b_anode = -((J_diff_anode*row)/-D_eff_anode)+ C_s_anode;
C_b_anodeT = C_b_anode’;

Glucose_conc = (C_b_anodeT * 180.156)*100000;
%Cathode
J_diff_cathode = j/(n_cathode*F);%diffusion flux of reactants
display(J_diff_cathode)

D_eff_cathode = (e^1.5) * D_ij_cathode;%effective reactant diffusivity
display(D_eff_cathode)

C_b_cathode = -((J_diff_cathode*row)/-D_eff_cathode)+ C_s_cathode;
%bulk concentration of reactant(oxygen)
display(C_b_cathode)

%————————————————————————–
%Concentration overpotential

%limiting current at anode
i_L_a = (n_anode*F*D_eff_anode*C_b_anode)/d_l_a;
%limiting current at cathode
i_L_c = (n_cathode*F*D_eff_cathode*C_b_cathode)/d_l_c;

%concentration overpotential at anode
V_conc_anode = (R*T)/(n_anode*F)*log(i_L_a./(i_L_a-j));
%concentration overpotential at cathode
V_conc_cathode = (R*T)/(n_cathode*F)*log(i_L_c./(i_L_c-j));
%concentration overpotential
V_conc =V_conc_cathode + V_conc_anode;
%J-V curve
figure
plot(j,V_conc)
title(‘J-V Vconc curve’)
xlabel(‘Current density’)
ylabel(‘Cocnetration overpotential’)

%————————————————————————–
%Cell potential
Et =1.3; %thermodynamic potential of fuel cell

%Fuel cell voltage
V_cell1 = Et – V_act – V_conc – V_ohm;
V_cell = abs(V_cell1);

%————————————————————————–
%Power of fuel cell

P_cell = V_cell .* j;
P_cell1 = abs(P_cell);

%————————————————————————–
%J-V curve
figure
plot(j,V_cell)
title(‘J-V curve’)
xlabel(‘Current density’)
ylabel(‘Cell voltage’)My ohmic overpotential curve, concentration overpotential curve and cell j-v curve are suppose to be flipped meaning my voltage is meant to decrease when my current density increases (negative gradient)
clc;
clear;
%Variables
m=15;
k = 15;
a_anode = 0.54; %transfer coefficient at anode
a_cathode = 0.52; %transfer coeffiecent at cathode
R = 8.314;%Gas constant
F = 96485;%Faraday constant
T = 300; %Temperature of cell
A_electrodes = 2; %area of electrodes
R_in = A_electrodes*2.5; %Internal resistance of the cell
n_anode = 2; %moles per reactant at the anode
n_cathode =4;%moles per reactant at the cathode
D_anode = 2.4e-6; %diffusion coefficient of glucose in bird
D_cathode = 1.8e-5;%diffusion coefficient of oxygen in bird
d_l_a = 0.005; %diffsuion layer thickness anode
d_l_c= 0.005 ;%diffsuion layer thickness cathode
j = linspace(0.0e-3,0.7e-3,k);%Current density of the cell
jT = j’;
C_s_anode = 5.55e-8; %concentration of reactant at the catalyst
C_s_cathode = 1.71e-8; %concentration of reactant at the catalyst
A_anode = 2; %active area of electrode
A_cathode = 2; %active area of electrode
row = 0.005; %diffusion distance
e = 0.4;%porosity of the structure
D_ij_anode = 9.5e-6; %binary diffusion coefficient(glucose in human dura mater)
D_ij_cathode = 1.8e-5;%Diffsuion coefficent of oxyegen in plain medium
i_ref_a = 3.5e-3; %anode reference exchange current density
L_anode = 0.3; %catalyst loading anode
P_anode = 2130; %Pressure at anode
P_ref_anode = 1.2; %reference pressure at the anode
T_ref_anode = 298; %reference temperature at anode
i_ref_c = 1.95e5; %anode reference exchange current density
L_cathode = 0.3; %catalyst loading anode
P_cathode = 50; %Pressure at anode
P_ref_cathode = 700; %reference pressure at the anode
T_ref_cathode = 298; %reference temperature at anode
%————————————————————————–
%Effective exchange current density
%Anode
i0_a = i_ref_a * A_anode * L_anode *(P_anode/P_ref_anode)^0.5 *(-(130/R*T)*(1-(T/T_ref_anode)));

%Cathode
i0_c = i_ref_c * A_cathode * L_cathode *(P_cathode/P_ref_cathode)^1 *(-(66/R*T)*(1-(T/T_ref_cathode)));

%————————————————————————–
%Activation Overpotential
%Anode
V_act_a = (R*T)/(a_anode*n_anode*F)*log(j/i0_a);%activation potential at anode
V_act_anode = abs(V_act_a);
display(V_act_anode)
%Cathode
V_act_c = (R*T)/(a_cathode*n_cathode*F)*log(j/i0_c);%activation potential at cathode
V_act_cathode = abs(V_act_c);
display(V_act_cathode)

%Total activation overpotential
V_act = V_act_cathode + V_act_anode;
display(V_act)
%J-V curve
figure
plot(j,V_act)
title(‘J-V Vact curve’)
xlabel(‘Current density’)
ylabel(‘Activation overpotential’)
%————————————————————————–
%Ohmic overpotential
%R_cell_anode = Rin .* A_anode; %resisitance of fuel cell
%R_cell_cathode = Rin .* A_cathode; %resisitance of fuel cell
%R_cell = R_cell_anode + R_cell_cathode;
V_ohm = j .* R_in;%ohmic overpotential of cell
display(V_ohm)
%J-V curve
figure
plot(j,V_ohm)
title(‘J-V ohmic curve’)
xlabel(‘Current density’)
ylabel(‘Ohmic overpotential’)
%————————————————————————–
%Determining glucose concentration
%Anode
J_diff_anode = j/(n_anode*F);%diffusion flux of reactants
display(J_diff_anode)

D_eff_anode = (e^1.5) * D_ij_anode;%effective reactant diffusivity
display(D_eff_anode)

C_b_anode = -((J_diff_anode*row)/-D_eff_anode)+ C_s_anode;
C_b_anodeT = C_b_anode’;

Glucose_conc = (C_b_anodeT * 180.156)*100000;
%Cathode
J_diff_cathode = j/(n_cathode*F);%diffusion flux of reactants
display(J_diff_cathode)

D_eff_cathode = (e^1.5) * D_ij_cathode;%effective reactant diffusivity
display(D_eff_cathode)

C_b_cathode = -((J_diff_cathode*row)/-D_eff_cathode)+ C_s_cathode;
%bulk concentration of reactant(oxygen)
display(C_b_cathode)

%————————————————————————–
%Concentration overpotential

%limiting current at anode
i_L_a = (n_anode*F*D_eff_anode*C_b_anode)/d_l_a;
%limiting current at cathode
i_L_c = (n_cathode*F*D_eff_cathode*C_b_cathode)/d_l_c;

%concentration overpotential at anode
V_conc_anode = (R*T)/(n_anode*F)*log(i_L_a./(i_L_a-j));
%concentration overpotential at cathode
V_conc_cathode = (R*T)/(n_cathode*F)*log(i_L_c./(i_L_c-j));
%concentration overpotential
V_conc =V_conc_cathode + V_conc_anode;
%J-V curve
figure
plot(j,V_conc)
title(‘J-V Vconc curve’)
xlabel(‘Current density’)
ylabel(‘Cocnetration overpotential’)

%————————————————————————–
%Cell potential
Et =1.3; %thermodynamic potential of fuel cell

%Fuel cell voltage
V_cell1 = Et – V_act – V_conc – V_ohm;
V_cell = abs(V_cell1);

%————————————————————————–
%Power of fuel cell

P_cell = V_cell .* j;
P_cell1 = abs(P_cell);

%————————————————————————–
%J-V curve
figure
plot(j,V_cell)
title(‘J-V curve’)
xlabel(‘Current density’)
ylabel(‘Cell voltage’) My ohmic overpotential curve, concentration overpotential curve and cell j-v curve are suppose to be flipped meaning my voltage is meant to decrease when my current density increases (negative gradient)
clc;
clear;
%Variables
m=15;
k = 15;
a_anode = 0.54; %transfer coefficient at anode
a_cathode = 0.52; %transfer coeffiecent at cathode
R = 8.314;%Gas constant
F = 96485;%Faraday constant
T = 300; %Temperature of cell
A_electrodes = 2; %area of electrodes
R_in = A_electrodes*2.5; %Internal resistance of the cell
n_anode = 2; %moles per reactant at the anode
n_cathode =4;%moles per reactant at the cathode
D_anode = 2.4e-6; %diffusion coefficient of glucose in bird
D_cathode = 1.8e-5;%diffusion coefficient of oxygen in bird
d_l_a = 0.005; %diffsuion layer thickness anode
d_l_c= 0.005 ;%diffsuion layer thickness cathode
j = linspace(0.0e-3,0.7e-3,k);%Current density of the cell
jT = j’;
C_s_anode = 5.55e-8; %concentration of reactant at the catalyst
C_s_cathode = 1.71e-8; %concentration of reactant at the catalyst
A_anode = 2; %active area of electrode
A_cathode = 2; %active area of electrode
row = 0.005; %diffusion distance
e = 0.4;%porosity of the structure
D_ij_anode = 9.5e-6; %binary diffusion coefficient(glucose in human dura mater)
D_ij_cathode = 1.8e-5;%Diffsuion coefficent of oxyegen in plain medium
i_ref_a = 3.5e-3; %anode reference exchange current density
L_anode = 0.3; %catalyst loading anode
P_anode = 2130; %Pressure at anode
P_ref_anode = 1.2; %reference pressure at the anode
T_ref_anode = 298; %reference temperature at anode
i_ref_c = 1.95e5; %anode reference exchange current density
L_cathode = 0.3; %catalyst loading anode
P_cathode = 50; %Pressure at anode
P_ref_cathode = 700; %reference pressure at the anode
T_ref_cathode = 298; %reference temperature at anode
%————————————————————————–
%Effective exchange current density
%Anode
i0_a = i_ref_a * A_anode * L_anode *(P_anode/P_ref_anode)^0.5 *(-(130/R*T)*(1-(T/T_ref_anode)));

%Cathode
i0_c = i_ref_c * A_cathode * L_cathode *(P_cathode/P_ref_cathode)^1 *(-(66/R*T)*(1-(T/T_ref_cathode)));

%————————————————————————–
%Activation Overpotential
%Anode
V_act_a = (R*T)/(a_anode*n_anode*F)*log(j/i0_a);%activation potential at anode
V_act_anode = abs(V_act_a);
display(V_act_anode)
%Cathode
V_act_c = (R*T)/(a_cathode*n_cathode*F)*log(j/i0_c);%activation potential at cathode
V_act_cathode = abs(V_act_c);
display(V_act_cathode)

%Total activation overpotential
V_act = V_act_cathode + V_act_anode;
display(V_act)
%J-V curve
figure
plot(j,V_act)
title(‘J-V Vact curve’)
xlabel(‘Current density’)
ylabel(‘Activation overpotential’)
%————————————————————————–
%Ohmic overpotential
%R_cell_anode = Rin .* A_anode; %resisitance of fuel cell
%R_cell_cathode = Rin .* A_cathode; %resisitance of fuel cell
%R_cell = R_cell_anode + R_cell_cathode;
V_ohm = j .* R_in;%ohmic overpotential of cell
display(V_ohm)
%J-V curve
figure
plot(j,V_ohm)
title(‘J-V ohmic curve’)
xlabel(‘Current density’)
ylabel(‘Ohmic overpotential’)
%————————————————————————–
%Determining glucose concentration
%Anode
J_diff_anode = j/(n_anode*F);%diffusion flux of reactants
display(J_diff_anode)

D_eff_anode = (e^1.5) * D_ij_anode;%effective reactant diffusivity
display(D_eff_anode)

C_b_anode = -((J_diff_anode*row)/-D_eff_anode)+ C_s_anode;
C_b_anodeT = C_b_anode’;

Glucose_conc = (C_b_anodeT * 180.156)*100000;
%Cathode
J_diff_cathode = j/(n_cathode*F);%diffusion flux of reactants
display(J_diff_cathode)

D_eff_cathode = (e^1.5) * D_ij_cathode;%effective reactant diffusivity
display(D_eff_cathode)

C_b_cathode = -((J_diff_cathode*row)/-D_eff_cathode)+ C_s_cathode;
%bulk concentration of reactant(oxygen)
display(C_b_cathode)

%————————————————————————–
%Concentration overpotential

%limiting current at anode
i_L_a = (n_anode*F*D_eff_anode*C_b_anode)/d_l_a;
%limiting current at cathode
i_L_c = (n_cathode*F*D_eff_cathode*C_b_cathode)/d_l_c;

%concentration overpotential at anode
V_conc_anode = (R*T)/(n_anode*F)*log(i_L_a./(i_L_a-j));
%concentration overpotential at cathode
V_conc_cathode = (R*T)/(n_cathode*F)*log(i_L_c./(i_L_c-j));
%concentration overpotential
V_conc =V_conc_cathode + V_conc_anode;
%J-V curve
figure
plot(j,V_conc)
title(‘J-V Vconc curve’)
xlabel(‘Current density’)
ylabel(‘Cocnetration overpotential’)

%————————————————————————–
%Cell potential
Et =1.3; %thermodynamic potential of fuel cell

%Fuel cell voltage
V_cell1 = Et – V_act – V_conc – V_ohm;
V_cell = abs(V_cell1);

%————————————————————————–
%Power of fuel cell

P_cell = V_cell .* j;
P_cell1 = abs(P_cell);

%————————————————————————–
%J-V curve
figure
plot(j,V_cell)
title(‘J-V curve’)
xlabel(‘Current density’)
ylabel(‘Cell voltage’) matlab, fuelcell MATLAB Answers — New Questions

​

Why does the view zoom in and out randomly when I try to rotate around my 3-D image?

I have created a 3-D image and want to rotate my view around the image. As it rotates, the perspective seems to zoom in and out causing an undesired bouncing effect. The following code illustrates this effect:

% This part of the code draws an arbitrary image
figure(‘renderer’,’zbuffer’,’color’,’k’)
[x,y,z]=sphere;
hold on
for j=[-1 1],
patch([-1 -1 1 1],[-1 1 1 -1],[j j j j],’b’)
patch([-1 -1 1 1],[j j j j],[-1 1 1 -1],’r’)
patch([j j j j],[-1 -1 1 1],[-1 1 1 -1],’g’)
surf(x+3*j,y,z)
surf(x,y+3*j,z)
end
axis([-5 5 -6 6 -5 5],’off’)
view(3)

% Get the current view angle
[az,el]=view;
el=el+15;

% Now rotate around the image
for j=10:10:360,
view(az+j,el)
pause(0.1)
end
How can I stabilize the view so that I can rotate the camera smoothly around my image?Why does the view zoom in and out randomly when I try to rotate around my 3-D image?

I have created a 3-D image and want to rotate my view around the image. As it rotates, the perspective seems to zoom in and out causing an undesired bouncing effect. The following code illustrates this effect:

% This part of the code draws an arbitrary image
figure(‘renderer’,’zbuffer’,’color’,’k’)
[x,y,z]=sphere;
hold on
for j=[-1 1],
patch([-1 -1 1 1],[-1 1 1 -1],[j j j j],’b’)
patch([-1 -1 1 1],[j j j j],[-1 1 1 -1],’r’)
patch([j j j j],[-1 -1 1 1],[-1 1 1 -1],’g’)
surf(x+3*j,y,z)
surf(x,y+3*j,z)
end
axis([-5 5 -6 6 -5 5],’off’)
view(3)

% Get the current view angle
[az,el]=view;
el=el+15;

% Now rotate around the image
for j=10:10:360,
view(az+j,el)
pause(0.1)
end
How can I stabilize the view so that I can rotate the camera smoothly around my image? Why does the view zoom in and out randomly when I try to rotate around my 3-D image?

I have created a 3-D image and want to rotate my view around the image. As it rotates, the perspective seems to zoom in and out causing an undesired bouncing effect. The following code illustrates this effect:

% This part of the code draws an arbitrary image
figure(‘renderer’,’zbuffer’,’color’,’k’)
[x,y,z]=sphere;
hold on
for j=[-1 1],
patch([-1 -1 1 1],[-1 1 1 -1],[j j j j],’b’)
patch([-1 -1 1 1],[j j j j],[-1 1 1 -1],’r’)
patch([j j j j],[-1 -1 1 1],[-1 1 1 -1],’g’)
surf(x+3*j,y,z)
surf(x,y+3*j,z)
end
axis([-5 5 -6 6 -5 5],’off’)
view(3)

% Get the current view angle
[az,el]=view;
el=el+15;

% Now rotate around the image
for j=10:10:360,
view(az+j,el)
pause(0.1)
end
How can I stabilize the view so that I can rotate the camera smoothly around my image? rotate, 3d, 3-d, cameraposition, view, angle MATLAB Answers — New Questions

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Hello, I am currently conducting research on the control of a Stewart platform. I am planning to add a mass of a certain weight to the upper platform and measure the forces acting on the upper plate due to the motion. However, I am unsure about which sensors to use for this purpose. I would greatly appreciate any advice you can provide.

The mass will be added to the corners of the upper platform.

I found the Ideal Force Sensor block, but there are no examples of how to use it. I would appreciate it if you could also explain how to use this block.Hello, I am currently conducting research on the control of a Stewart platform. I am planning to add a mass of a certain weight to the upper platform and measure the forces acting on the upper plate due to the motion. However, I am unsure about which sensors to use for this purpose. I would greatly appreciate any advice you can provide.

The mass will be added to the corners of the upper platform.

I found the Ideal Force Sensor block, but there are no examples of how to use it. I would appreciate it if you could also explain how to use this block. Hello, I am currently conducting research on the control of a Stewart platform. I am planning to add a mass of a certain weight to the upper platform and measure the forces acting on the upper plate due to the motion. However, I am unsure about which sensors to use for this purpose. I would greatly appreciate any advice you can provide.

The mass will be added to the corners of the upper platform.

I found the Ideal Force Sensor block, but there are no examples of how to use it. I would appreciate it if you could also explain how to use this block. simulink, simscape MATLAB Answers — New Questions

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