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How to solve nonlinear Trigonometry equations in matlab

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Mohsen
Mohsen am 5 Mai 2015
Kommentiert: Star Strider am 22 Jun. 2020
Dear Friend I have a 5 nonlinear trigonometry equations with 5 parameters as following:
x*sin(z)-y*sin(k)=-2.061 ,
y*cos(k)-x*cos(z)=5.181 ,
x*cos(0.4904-z)+0.1*y*cos(0.4904+z)=0 ,
-1.032*cos(u)-0.1*y*sin(k)-0.2*x*sin(z)=-0.8821 ,
-1.032*sin(u)+0.1*y*cos(k)+0.2*x*cos(z)=-0.471 ,
How to calculate x,y,z,k,u? Best Regards

Akzeptierte Antwort

Star Strider
Star Strider am 5 Mai 2015
One possibility:
% MAPPING: b(1) = x, b(2) = y, b(3) = z, b(4) = k, b(5) = u
f = @(b) [b(1)*sin(b(3))-b(2)*sin(b(4))+2.061
b(2)*cos(b(4))-b(1)*cos(b(3))-5.181
b(1)*cos(0.4904-b(3))+0.1*b(2)*cos(0.4904+b(3))
-1.032*cos(b(5))-0.1*b(2)*sin(b(4))-0.2*b(1)*sin(b(3))+0.8821
-1.032*sin(b(5))+0.1*b(2)*cos(b(4))+0.2*b(1)*cos(b(3))+0.471];
B0 = rand(5,1)*2*pi;
[B,fv,xf,ops] = fsolve(f, B0);
ps = ['x'; 'y'; 'z'; 'k'; 'u'];
fprintf(1, '\n\tParameters:\n')
for k1 = 1:length(B)
fprintf(1, '\t\t%s = % .4f\n', ps(k1,:), B(k1))
end
that with one set of initial parameter estimates produces:
Parameters:
x = 0.9478
y = 5.8864
z = 1.6950
k = 0.5351
u = 1.1792
  5 Kommentare
Lonny Thompson
Lonny Thompson am 22 Jun. 2020
yes, you need optimization toolbox to use fsolve.
another way to solve is using the symbolic toolbox solve function.
Star Strider
Star Strider am 22 Jun. 2020
Another option is to use fminsearch:
[B,fv] = fminsearch(@(b)norm(f(b)-0), B0)
It may not be as accurate, however it will provide decent parameter estimates.
.

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