Hiiii having problem in coding optimazation function
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hiii i have problem in defining objective function for optimization. my objective function is
y=sum(abs(Voc-Vbc));
where Voc is given data and Vbc is obtained by
Vbc=(((Q./C1)+(Ic*R2)).*exp(-tc./(R2.*C1)))+Vo-(Ic*(R1+R2));
in this Q tc and Ic are constant and R1 C1 R2 and Vo is obtained from
R1 = ((a(1)+a(2)*cr+a(3)*(cr^2))*exp(-a(4).*SOC))+(a(5)+a(6)*cr+a(7)*(cr^2));
R2 = ((a(8)+a(9)*cr+a(10)*(cr^2))*exp(-a(11).*SOC))+(a(12)+a(13)*cr+a(14)*(cr^2));
C1 = (-(a(15)+a(16)*cr+a(17)*(cr^2))*exp(-a(18).*SOC))+(a(19)+a(20)*cr+a(21)*(cr^2));
Vo = ((a(22)+a(23)*cr+a(24)*(cr^2))*exp(-a(25).*SOC))+(a(26)+a(27).*SOC+a(28).*(SOC.^2)+a(29).*(SOC.^3))-(a(30)*cr)+(a(31)*(cr^2));
Here SOC is an array and cr is constant a is array with (1, 31) dim . this a matrix is variable for our optimization.
in my program i want R1 C1 R2 and Vo always remain positive. how i can define it in matlab so this values always remain positive.
2 comentarios
Alan Weiss
el 13 de Mzo. de 2015
Please format your question using the {} Code button so that we can read it.
Alan Weiss
MATLAB mathematical toolbox documentation
venu sangwan
el 15 de Mzo. de 2015
Respuestas (1)
Alan Weiss
el 16 de Mzo. de 2015
It is very hard to understand you, so my comments might be off base. I am not sure that I understand what your control variables are. Control variables are the ones that you change to try to optimize something.
Suppose that your control variables are R1, C1, R2, and V0. Then you write your objective function for the lsqnonlin function as
function y = myfun(x,Vbc)
R1 = x(1);
C1 = x(2);
R2 = x(3);
V0 = x(4)
% Now write the calculation of Voc
% End the calculation with
y = Voc - Vbc
and pass your function as
fun = @(x)myfun(x,Vbc); % gets the objective function
solution = lsqnonlin(fun,x0) % you need an initial guess x0
I hope this helps,
Alan Weiss
MATLAB mathematical toolbox documentation
1 comentario
venu sangwan
el 17 de Mzo. de 2015
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