ode45 error Unable to perform assignment because the indices on the left side are not compatible with the size of the right side
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Hi Guys,
I am trying to solve a set of 3 differential equations using ode45. But i can't get it to work because I am getting the following error:
%Unable to perform assignment because the indices on the left side are not compatible with the size of the right side.
%Error in freylaw_stat (line 29)
%dy(1,1)=-Ct+(R+r)*y(3); %Mr the constant r is introduced here according to Looft et al.(2018) and is an intended variation of the
%original equation
%Error in Gesamtskript_stat>@(t,y)freylaw_stat(t,y,t_min,Fext_M_P,MVC_Verlauf_P) (line 119)
%[t,y]=ode45(@(t,y) freylaw_stat(t,y,t_min,Fext_M_P,MVC_Verlauf_P),timerange,IC); %PROZENT MUs
%Error in odearguments (line 90)
%f0 = feval(ode,t0,y0,args{:}); % ODE15I sets args{1} to yp0.
%Error in ode45 (line 115)
%odearguments(FcnHandlesUsed, solver_name, ode, tspan, y0, options, varargin);
%Error in Gesamtskript_stat (line 119)
%[t,y]=ode45(@(t,y) freylaw_stat(t,y,t_min,Fext_M_P,MVC_Verlauf_P),timerange,IC); %PROZENT MUs
following is the code I am using for ode45:
timerange=[T0_min tEnd_min];
IC=[100; 0; 0];
MVC_Verlauf_P=100;
[t,y]=ode45(@(t,y) freylaw_stat(t,y,t_min,Fext_M_P,MVC_Verlauf_P),timerange,IC);
with Fext_M_P being of the type 741979x1 double and using the following function:
function dy=freylaw_stat(t,y,t_min,Fext_M_P,MVC_Verlauf)
L=10; %Modellspezifischer Faktor
r=15; %rest-recovery-multiplier nach 2018#Looft et al.
F=0.00912; %Ermüdungsfaktor nach Frey Law (2012)
R=0.00094; %Erholungsfaktor nach Frey Law (2012)
Fext_I=Fext_M_P;
MVC=MVC_Verlauf-y(3);
TL0=(Fext_I/MVC)*100;
if (y(2)<TL0)&(y(1)>(TL0-y(2)))
Ct=L*(TL0-y(2)); %if Ma<TL and Mr>(TL-Ma)
elseif (y(2)<TL0)&(y(1)<(TL0-y(2)))
Ct=L*y(1); %if Ma<TL and Mr<(TL-Ma)
else
Ct=L*(TL0-y(2)); %if Ma>=TL
end
dy(1,1)=-Ct+(R+r)*y(3); %Mr
dy(2,1)=Ct-F*y(2); %Ma
dy(3,1)=F*y(2)-R*y(3); %Mf
end
Can someone tell me what I am doing wrong here, and how to change it? Your help is greatly appreciated!
Thank you and best regards,
Christian
8 个评论
Ameer Hamza
2020-3-20
To solve them as a differential equation with ode45, you need dy to be 3*1, not 741979*3. The equation you pasted also show that C(t) is a function of time. So you need to specify, how the time t is related to the elements of vector Ct. For example, if t=0, C(0) is the first element of Ct, i.e., Ct(1), then at the next time step, say t=0.1, which elemnt of Ct is equal to the value of C(0.1).
回答(1 个)
Ameer Hamza
2020-3-24
Check the following code. I created a random vector Fext_M_P to test the output of my code. Also the time range is from 0 to 10.
Fext_M_P = rand(741979, 1);
timerange=linspace(0, 10, numel(Fext_M_P));
IC=[100; 0; 0];
MVC_Verlauf_P=100;
[t,y]=ode45(@(t,y) freylaw_stat(t,y,timerange,Fext_M_P,MVC_Verlauf_P),timerange,IC);
function dy=freylaw_stat(t,y,timerange,Fext_M_P,MVC_Verlauf)
L=10; %Modellspezifischer Faktor
r=15; %rest-recovery-multiplier nach 2018#Looft et al.
F=0.00912; %Ermüdungsfaktor nach Frey Law (2012)
R=0.00094; %Erholungsfaktor nach Frey Law (2012)
index = floor(interp1(timerange([1 end]), [1 numel(Fext_M_P)], t));
Fext_I=Fext_M_P(index);
MVC=MVC_Verlauf-y(3);
TL0=(Fext_I/MVC)*100;
if (y(2)<TL0)&(y(1)>(TL0-y(2)))
Ct=L*(TL0-y(2)); %if Ma<TL and Mr>(TL-Ma)
elseif (y(2)<TL0)&(y(1)<(TL0-y(2)))
Ct=L*y(1); %if Ma<TL and Mr<(TL-Ma)
else
Ct=L*(TL0-y(2)); %if Ma>=TL
end
dy(1,1)=-Ct+(R+r)*y(3); %Mr
dy(2,1)=Ct-F*y(2); %Ma
dy(3,1)=F*y(2)-R*y(3); %Mf
end
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