do-mpc: Prepare next iteration and store information
------------------------------------------------------
"""
# Store the information
configuration_1.store_mpc_data()
# Set initial condition constraint for the next iteration
configuration_1.prepare_next_iter()
"""
------------------------------------------------------
do-mpc: Plot MPC animation if chosen by the user
------------------------------------------------------
"""
# Plot animation if chosen in by the user
data_do_mpc.plot_animation(configuration_1)
"""
------------------------------------------------------
do-mpc: Plot the closed-loop results
------------------------------------------------------
"""
data_do_mpc.plot_mpc(configuration_1)
# Export to matlab if wanted
data_do_mpc.export_to_matlab(configuration_1)
input("Press Enter to exit do-mpc...")
configuration_1.make_step_observer()
"""
------------------------------------------------------
do-mpc: Prepare next iteration and store information
------------------------------------------------------
"""
# Store the information
configuration_1.store_mpc_data()
# Set initial condition constraint for the next iteration
configuration_1.prepare_next_iter()
"""
------------------------------------------------------
do-mpc: Plot MPC animation if chosen by the user
------------------------------------------------------
"""
# Plot animation if chosen in by the user
data_do_mpc.plot_animation(configuration_1)
"""
------------------------------------------------------
do-mpc: Plot the closed-loop results
------------------------------------------------------
"""
data_do_mpc.plot_mpc(configuration_1)
# Export to matlab if wanted
data_do_mpc.export_to_matlab(configuration_1)
input("Press Enter to exit do-mpc...")
------------------------------------------------------
do-mpc: Prepare next iteration and store information
------------------------------------------------------
"""
# Store the information
vars()['configuration_' + zone].store_mpc_data()
# Set initial condition constraint for the next iteration
vars()['configuration_' + zone].prepare_next_iter()
"""
------------------------------------------------------
do-mpc: Plot MPC animation if chosen by the user
------------------------------------------------------
"""
# Plot animation if chosen in by the user
data_do_mpc.plot_animation(vars()['configuration_' + zone])
"""
------------------------------------------------------
do-mpc: Plot the closed-loop results
------------------------------------------------------
"""
elapsed_time = time.time() - start_time
#print elapsed_time
print 'Elapsed Time: ' + str(elapsed_time)
for i in range(len(configurations)):
consumedpower = NP.sum(configurations[i].simulator.Heatrate)
print "Consumed Power: " + str(consumedpower) + " [W]"
data_do_mpc.plot_mpc(configurations[i])
# Export to matlab if wanted
