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$1_simpar; # Read in simulation parameters
$1_numpar; # Read in parameters
MTTilast = round(mttlast/mttdt); # Total number of steps
#Initialise
MTTt = 0.0;
[MTTu] = zero_vector($Nu); # Zero the input
[MTTx] = $1_state; # Read in initial state
[MTTy] = $1_odeo(MTTx,MTTu,MTTt); # Evaluate initial output
[MTTu] = $1_input(MTTt,MTTx,MTTy); # Evaluate initial input
mtt_write(MTTt,MTTx,MTTy,$Nx,$Ny); # And write them
[mttAA] = zero_matrix($Nx); # Zero the A matrix
[mttAAx] = zero_vector($Nx); # Zero the AAx vector
[MTTx] = $1_switch(MTTx); # Switches
if mttmethod==1 # Euler
MTTddt = mttdt/mttstepfactor; # The small sample interval
endif;
#Integration loop
for MTTit = 1:MTTilast
if mttmethod==1 # Euler
for MTTjt = 1:mttstepfactor
[MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
[MTTx] = mtt_euler(MTTx,MTTdx,MTTddt,$Nx); # Euler update
[MTTx] = $1_switch(MTTx); # Switches
MTTt = MTTt + MTTddt;
endfor;
endif;
if mttmethod==2 # Implicit
[MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
[mttAA,mttAAx] = $1_smx(MTTx,MTTu,mttdt); # (I-Adt) and (I-Adt)x
[mttAA] = $1_switcha(mttAA,MTTx); # Switches
[MTTx] = mtt_implicit(MTTx,MTTdx,mttAA,mttAAx,mttdt,$Nx); # Implicit update
[MTTx] = $1_switch(MTTx); # Switches
MTTt = MTTt + mttdt;
endif;
[MTTy] = $1_odeo(MTTx,MTTu,MTTt); # Output
[MTTu] = $1_input(MTTt,MTTx,MTTy); # Input
mtt_write(MTTt,MTTx,MTTy,$Nx,$Ny); # Write it out
endfor; # Integration loop
EOF
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$1_simpar; # Read in simulation parameters
$1_numpar; # Read in parameters
MTTilast = round(mttlast/mttdt); # Total number of steps
#Initialise
MTTt = 0.0;
[MTTu] = zero_vector($Nu); # Zero the input
if $Nx>0
[MTTx] = $1_state; # Read in initial state
else
MTTx = 0; # Dummy value
endif;
[MTTy] = $1_odeo(MTTx,MTTu,MTTt); # Evaluate initial output
[MTTu] = $1_input(MTTt,MTTx,MTTy); # Evaluate initial input
mtt_write(MTTt,MTTx,MTTy,$Nx,$Ny); # And write them
[mttAA] = zero_matrix($Nx); # Zero the A matrix
[mttAAx] = zero_vector($Nx); # Zero the AAx vector
if $Nx>0
[MTTx] = $1_switch(MTTx); # Switches
endif;
if mttmethod==1 # Euler
MTTddt = mttdt/mttstepfactor; # The small sample interval
endif;
for MTTit = 1:MTTilast #Integration loop
MTTit
if $Nx>0 # Don't if no states
if mttmethod==1 # Euler
for MTTjt = 1:mttstepfactor
[MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
[MTTx] = mtt_euler(MTTx,MTTdx,MTTddt,$Nx); # Euler update
[MTTx] = $1_switch(MTTx); # Switches
MTTt = MTTt + MTTddt;
endfor;
endif;
if mttmethod==2 # Implicit
[MTTdx] = $1_ode(MTTx,MTTu,MTTt); # State derivative
[mttAA,mttAAx] = $1_smx(MTTx,MTTu,mttdt); # (I-Adt) and (I-Adt)x
[mttAA] = $1_switcha(mttAA,MTTx); # Switches
[MTTx] = mtt_implicit(MTTx,MTTdx,mttAA,mttAAx,mttdt,$Nx); # Implicit update
[MTTx] = $1_switch(MTTx); # Switches
MTTt = MTTt + mttdt;
endif;
else
MTTt = MTTt + mttdt;
endif; # $Nx>0
MTTit
[MTTy] = $1_odeo(MTTx,MTTu,MTTt); # Output
[MTTu] = $1_input(MTTt,MTTx,MTTy); # Input
mtt_write(MTTt,MTTx,MTTy,$Nx,$Ny); # Write it out
endfor; # Integration loop
EOF
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