Solving for a matrix

조회 수: 5 (최근 30일)
hrushikesh kyathari
hrushikesh kyathari 2019년 8월 4일
답변: John D'Errico 2019년 8월 4일
C is a variable matrix, C=[w,x,y,x]
I have an equation T*Q*M=B; All the matrices are 4*4
B and Q are known constant matrices. But T and M are matrices which have elements as a function of variables in C.
For example: T=[0,cos(x).sin(y),0,
0,0,0,0,
1,1,1,1
0,0,0,0]
Similarly M.
Is it possible to solve for the matrix C(i.e for the variables in C).Help if possible
  댓글 수: 5
hrushikesh kyathari
hrushikesh kyathari 2019년 8월 4일
Tsb=[cos(c(1,1)),-sin(c(1,1)),0,c(2,1),
sin(c(1,1)),cos(c(1,1)),0,c(3,1),
0,0,1,0.0963,
0,0,0,1];
Tbo=[1,0,0,0.1662,
0,1,0,0,
0,0,1,0.0026
0,0,0,1];
M=[1,0,0,0.033,
0,1,0,0,
0,0,1,0.6546,
0,0,0,1];
Slist=[0,0,1,0,0.033,0,
0,-1,0,-0.5076,0,0,
0,-1,0,-0.3526,0,0,
0,-1,0,-0.2176,0,0,
0,0,1,0,0,0]';
Toe=FKinBody(M,Slist,c((4:8),1));
fun=(Tsb*Tbo*Toe)-X;
H = fsolve(fun,-500)
This is my code, When I try to run Fsolve it is showing error:FUN must be a function, a valid character vector expression, or an inline function object.
Walter Roberson
Walter Roberson 2019년 8월 4일
편집: Walter Roberson 2019년 8월 4일
What is FKinBody ?
In
fun=(Tsb*Tbo*Toe)-X;
what is X ? And what happened to B ?

댓글을 달려면 로그인하십시오.

답변 (2개)

Walter Roberson
Walter Roberson 2019년 8월 4일
Tsb = @(c) [cos(c(1)), -sin(c(1)), 0, c(2);
sin(c(1)), cos(c(1)), 0, c(3);
0, 0, 1, 0.0963;
0, 0, 0, 1];
Tbo=[1, 0, 0, 0.1662;
0, 1, 0, 0;
0, 0, 1, 0.0026;
0, 0, 0, 1];
M=[1, 0, 0, 0.033;
0, 1, 0, 0;
0, 0, 1, 0.6546;
0, 0, 0, 1];
Slist=[0, 0, 1, 0, 0.033, 0;
0, -1, 0, -0.5076, 0, 0;
0, -1, 0, -0.3526, 0, 0;
0, -1, 0, -0.2176, 0, 0;
0, 0, 1, 0, 0, 0]';
Toe = @(c) FKinBody(M, Slist, c(4:8));
fun = @(c) (Tsb(c) * Tbo * Toe(c)) - B;
c0 = randi([-1000 1000], 1, 4);
H = fsolve(fun, c0)

John D'Errico
John D'Errico 2019년 8월 4일
You have what? 2 unknowns? I've seen various versions of these equations that you have written. But you do not have 16 unknowns.
You want 16 equations to be solved. That 4x4 matrix equation is equivalent to 16 equations. So unless you have 16 unknowns, you need to accept the solution will not be exact.
So you will use a solver that will handle a nonlinear least squares. I might suggest something like lsqnonlin or lsqcurvefit. They are not just there for curve fitting.

카테고리

Help CenterFile Exchange에서 Programming에 대해 자세히 알아보기

태그

제품


릴리스

R2019a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by