mclassic.src

一种求解目标函数最小化的MATLAB仿真程序.

mclassic:=proc(zrow,zcol)
local f1_dim,f2_dim,f_dim,j_rowdim,j_coldim,theta,P,Q,X,Data,
     DataSeq,Param,State,Parameters,StateRules,ParameterRules,DataRules,
         k_list,n_list,k,n;
global f1,f2,F,j0;
# **************** Set up arrays
if m_pv+s_pq=0 then 
        F:=evalm(f1):
        f_dim:=rowdim(F):
        f1_dim:=rowdim(f1)-1:
        f2_dim:=0:
else
        F:=stackmatrix(f1,f2):
        f_dim:=rowdim(F):
        f1_dim:=rowdim(f1)-1:
        f2_dim:=rowdim(f2):
fi:
f1:='f1':
f2:='f2':
#print(amadi0);
theta:=seq(th[k],k=1..f1_dim-f2_dim):
P:=seq(p[k],k=1..f1_dim+1):
Q:=seq(q[k],k=f1_dim-f2_dim+2..f1_dim+1):
X:=seq(x[k],k=0..f1_dim+f2_dim-1):
Data:=seq(data[k],k=0..f1_dim+1-f2_dim+2*rowdim(zrow)-1):
Param:=seq(param[k],k=0..f1_dim+1+f2_dim-1):
# ***************** Set up replacement rules
State:=theta,seq(op([e[k+1],th[k]]),k=f1_dim-f2_dim+1..f1_dim):
StateRules:={seq(State[k]=X[k],k=1..nops([X]))}:
Parameters:=P,Q:
ParameterRules:={seq(Parameters[k]=Param[k],k=1..nops([Parameters]))}:
DataSeq:=seq(e[k],k=1..f1_dim+1-f2_dim):
k_list:=convert(col(zrow,1),list):
n_list:=convert(col(zcol,1),list):
#print(amadi1);
for n from 1 to rowdim(zrow) do
        DataSeq:=DataSeq,b[k_list[n],n_list[n]]:
od:
for n from 1 to rowdim(zrow) do
        DataSeq:=DataSeq,g[k_list[n],n_list[n]]:
od:
DataRules:={seq(DataSeq[k]=Data[k],k=1..nops([Data]))}:
#print(amadi2);
F:=subs(StateRules,evalm(F)): 
F:=subs(ParameterRules,evalm(F)): 
#print(amadi205);
F:=subs(DataRules,evalm(F)):
#print(amadi215);
j0:=jacobian(col(F,1),[X]): 
#print(amadi3);
RETURN(1)
end: