## MacroMicroPPP_nppp.m ## Makes figures for the MacroMicro_PPP exasmple. ## $Log$ ## Revision 1.4 2000/05/21 16:11:53 peterg ## 7 basis funs. ## ## Revision 1.3 2000/05/21 15:59:34 peterg ## Made into _nppp.m file ## Parameterised _sm ## ## Revision 1.2 2000/05/17 17:01:39 peterg ## Modified for Macro Micro example -- works!! ## ## Revision 1.1 2000/05/17 10:03:04 peterg ## Initial revision ## ## Revision 1.1 2000/05/17 09:14:37 peterg ## Initial revision ## system_name = "MacroMicroPPP"; ## Uncomment the following the first time ## (Or do ./Make MacroMicroPPP in this directory) ## MTT stuff for the system simulation ##system("Make MacroMicroPPP"); t_s=0.1*[0:0.01:1]; u = [ones(7,length(t_s))]; x_0 = MacroMicroPPP_state; par = MacroMicroPPP_numpar; ## Simulate the system tick=time; [y] = MacroMicroPPP_sim(x_0,u,t_s,par); Elapsed = time-tick plot(t_s,y) ## Simulate the system to give just the final few point t_s1 = 0.1*[0.91:0.01:1]; tick=time; [y,x] = MacroMicroPPP_sim(x_0,u,t_s1,par); Elapsed = time-tick plot(t_s1,y,t_s1,x); ## Sensitivity system simulation parameters x_0s = sMacroMicroPPP_state; pars = sMacroMicroPPP_numpar; sympars = sMacroMicroPPP_sympar; ## Simulate the sensitivity system sensitivities = \ [sympars.ppp_1s,\ sympars.ppp_2s,\ sympars.ppp_3s,\ sympars.ppp_4s,\ sympars.ppp_5s,\ sympars.ppp_6s,\ sympars.ppp_7s] tick=time; [y,ys] = sMacroMicroPPP_sim(x_0s,u,t_s,pars,sensitivities); Elapsed = time-tick plot(t_s,y,t_s,ys); ### PPP parameters A_w = 0; A_u = ppp_aug(A_w,laguerre_matrix(6,25)); # Specify basis functions tau = 0.5*[0.9:0.01:1]; # Optimisation interval t_ol = 0.5*[0:0.01:0.1]; # Open-loop interval N = 10; # Number of open-loop intervals in simulation w = 1; # Setpoint ## Linear system [A,B,C,D] = MacroMicroPPP_sm(par); Q = 1; w = 1; ppp_lin_plot (A,B(:,1),C(1,:),D(1,1),A_u,A_w,tau,Q,w,x_0); psfig("MacroMicroPPP_lin"); ## Simulate non-linear PPP (on this linear system) extras.U_initial = "zero"; extras.U_next = "continuation"; extras.criterion = 1e-8; extras.max_iterations = 10; extras.v = 0.1; extras.verbose = 0; ## -- with no optimisation using linear PPP with continuation extras.U_initial = "linear"; extras.U_next = "continuation"; extras.criterion = 1e-5; extras.max_iterations = 0; [y_c,x,u_c,t,U,U_c,U_l] = ppp_nlin_sim (system_name,A_u,tau,t_ol,N,w,extras); ## -- with no optimisation using linear PPP at each step extras.U_initial = "linear"; extras.U_next = "linear"; extras.criterion = 1e-5; extras.max_iterations = 0; [y_l,x,u_l,t,U,U_c,U_l] = ppp_nlin_sim (system_name,A_u,tau,t_ol,N,w,extras); ## -- with optimisation using nonlinear PPP with continuation extras.U_initial = "zero"; extras.U_next = "continuation"; extras.criterion = 1e-5; extras.max_iterations=100; extras.verbose = 0; extras.v = 1e-5; disp("Non-linear optimisation ...."); [y,x,u,t,U,U_c,U_l] = ppp_nlin_sim (system_name,A_u,tau,t_ol,N,w,extras); ## Plots title(""); ## U, U_c and U_l I = 1:N; IU1 = [I' U(1,:)']; IU1_c = [I' U_c(1,:)']; IU1_l = [I' U_l(1,:)']; gset grid; xlabel "Interval" gplot IU1 title "U_1", IU1_c title "U_c1", IU1_l title "U_l1" psfig("MacroMicroPPP_U1"); IU2 = [I' U(2,:)']; IU2_c = [I' U_c(2,:)']; IU2_l = [I' U_l(2,:)']; gset grid; xlabel "Interval " gplot IU2 title "U_2", IU2_c title "U_c2", IU2_l title "U_l2" psfig("MacroMicroPPP_U2"); ## y & u gset grid; xlabel "Time (sec)" ty = [t' y'] ; tu = [t' u']; gplot ty title "Output", tu title "Input" psfig("MacroMicroPPP_yu"); title(""); gset grid; xlabel "Time (sec)" ty_c = [t' y_c'] ; ty_l = [t' y_l'] ; ty = [t' y'] ; tu = [t' u']; gplot ty_c title "Continuation", ty_l title "Linear", ty title "Optimisation" psfig("MacroMicroPPP_nppp");