Extract vector of decision variables from matrix variable values
decvec = mat2dec(lmisys,X1,X2,X3,...)
Given an LMI system
lmisys with matrix variables X1, . . ., XK and given values
X1,...,Xk of X1, . . ., XK,
mat2dec returns the corresponding value
decvec of the vector of decision variables. Recall that the decision variables are the independent entries of the matrices X1, . . ., XK and constitute the free scalar variables in the LMI problem.
This function is useful, for example, to initialize the LMI solvers
gevp. Given an initial guess for X1, . . ., XK,
mat2dec forms the corresponding vector of decision variables
An error occurs if the dimensions and structure of
X1,...,Xk are inconsistent with the description of X1, . . ., XK in
Consider an LMI system with two matrix variables X and Y such that
X is a symmetric block diagonal with one 2-by-2 full block and one 2-by-2 scalar block.
Y is a 2-by-3 rectangular matrix.
Particular instances of X and Y are
and the corresponding vector of decision variables is given by
decv = mat2dec(lmisys,X0,Y0) decv' ans = 1 3 -1 5 1 2 3 4 5 6
decv is of length 10 since Y has 6 free entries while X has 4 independent entries due to its structure. Use
decinfo to obtain more information about the decision variable distribution in X and Y.
Introduced before R2006a