Matlab RBF神经网络预测控制程序的源代码.7z

function nnmodref(cmd,arg1,arg2,arg3) %NNMODREF Neural Network Model Reference Controller GUI for Neural Network Controller Toolbox. % % Synopsis % % nnmodref(cmd,arg1,arg2,arg3) % % Warning!! % % This function may be altered or removed in future % releases of the Neural Network Toolbox. We recommend % you do not write code which calls this function. % This function is generally being called from a Simulink block. % Orlando De Jesus, Martin Hagan, 1-25-00 % Copyright 1992-2004 The MathWorks, Inc. % $Revision: 1.7.2.1 $ $Date: 2004/03/24 20:42:49 $ % CONSTANTS me = 'Model Reference Control'; % DEFAULTS if nargin == 0, cmd = ''; else cmd = lower(cmd); end % FIND WINDOW IF IT EXISTS fig = 0; % 9/3/99 We alow the program to see hidden handles fig=findall(0,'type','figure','name',me); if (size(fig,1)==0), fig=0; end if length(get(fig,'children')) == 0, fig = 0; end % GET WINDOW DATA IF IT EXISTS if fig H = get(fig,'userdata'); if strcmp(cmd,'') if get(H.gcbh_ptr,'userdata')~=arg1 delete(fig); fig=0; end else if strcmp(cmd,'close') delete(fig) return; end % ODJ 1-13-00 We check if the field SimulationStatus exist before reading that field if isfield(get(H.gcbh_ptr,'userdata')) if isfield(get_param(get_param(get(H.gcbh_ptr,'userdata'),'parent'),'objectparameters'),'SimulationStatus') SimulationStatus=get_param(get_param(get(H.gcbh_ptr,'userdata'),'parent'),'simulationstatus'); else SimulationStatus='none'; end else SimulationStatus='none'; end if (strcmp(SimulationStatus,'running') | strcmp(SimulationStatus,'paused')) & ~strcmp(cmd,'close') set(H.error_messages,'string','You must stop the simulation to change NN configuration parameters.'); return; end end end %================================================================== % Activate the window. % % ME() or ME('') %================================================================== if strcmp(cmd,'') if fig figure(fig) if strcmp(arg3,'nnident') set(H.error_messages,'string',sprintf('Generate or import data before training the neural network controller.')); else set(H.error_messages,'string',sprintf('Perform plant identification before controller training.')); end set(fig,'visible','on') else nncontrolutil('nnmodref','init',arg1,arg2,arg3) end %================================================================== % Close the window. % % ME() or ME('') %================================================================== elseif strcmp(cmd,'close') & (fig) delete(fig) return; elseif strcmp(cmd,'stop_sim') fig2=findall(0,'type','figure','tag','ind_adap_data'); if (size(fig2,1)==0), fig2=0; end f2=get(fig2,'userdata'); f2.stop=1; set(fig2,'UserData',f2); return; elseif (strcmp(cmd,'apply') | strcmp(cmd,'ok')) & (fig) arg1=get(H.gcbh_ptr,'userdata'); epochs_c = get(H.epochs_c_ptr,'userdata'); set_param(arg1,'epochs_c',num2str(epochs_c)); retraining_c = get(H.retraining_c_ptr,'userdata'); set_param(arg1,'retraining_c',num2str(retraining_c)); max_r = get(H.max_r_ptr,'userdata'); set_param(arg1,'max_r',num2str(max_r)); min_r = get(H.min_r_ptr,'userdata'); set_param(arg1,'min_r',num2str(min_r)); max_r_int = get(H.max_r_int_ptr,'userdata'); set_param(arg1,'max_r_int',num2str(max_r_int)); min_r_int = get(H.min_r_int_ptr,'userdata'); set_param(arg1,'min_r_int',num2str(min_r_int)); sam_training_c = get(H.sam_training_c_ptr,'userdata'); set_param(arg1,'sam_training_c',num2str(sam_training_c)); S1c = get(H.S1c_ptr,'userdata'); set_param(arg1,'S1c',num2str(S1c)); Ref_file = get(H.Ref_file_ptr,'userdata'); set_param(arg1,'Ref_file',Ref_file); Nrc = get(H.Nrc_ptr,'userdata'); set_param(arg1,'Nrc',num2str(Nrc)); Nic = get(H.Nic_ptr,'userdata'); set_param(arg1,'Nic',num2str(Nic)); Njc = get(H.Njc_ptr,'userdata'); set_param(arg1,'Njc',num2str(Njc)); Use_Inc_training = get(H.Use_Inc_training_ptr,'userdata'); set_param(arg1,'Use_Inc_training',num2str(Use_Inc_training)); Use_Previous_Weights = get(H.Use_Previous_Weights_ptr,'userdata'); set_param(arg1,'Use_Previous_Weights',num2str(Use_Previous_Weights)); IW_r = get(H.IW_r_ptr,'userdata'); IW_u = get(H.IW_u_ptr,'userdata'); IW_y = get(H.IW_y_ptr,'userdata'); LW_c = get(H.LW_c_ptr,'userdata'); B1_c = get(H.B1_c_ptr,'userdata'); B2_c = get(H.B2_c_ptr,'userdata'); set_param(arg1,'IW_y',mat2str(IW_y,20)); set_param(arg1,'IW_u',mat2str(IW_u,20)); set_param(arg1,'IW_r',mat2str(IW_r,20)); set_param(arg1,'LW_c',mat2str(LW_c,20)); set_param(arg1,'B1_c',mat2str(B1_c,20)); set_param(arg1,'B2_c',mat2str(B2_c,20)); if strcmp(cmd,'ok') delete(fig) end %================================================================== % Execute Identification Training. % % ME('training') %================================================================== elseif strcmp(cmd,'training') & (fig) arg1=get(H.gcbh_ptr,'userdata'); arg2=get(H.gcb_ptr,'userdata'); nnident('',arg1,arg2,'nnmodref'); %================================================================== % Execute Controller Training. % % ME('training') %================================================================== elseif (strcmp(cmd,'training_con') | strcmp(cmd,'cont_training_con') | strcmp(cmd,'data_ok') | ... strcmp(cmd,'gen_data') | strcmp(cmd,'have_file')) & (fig) if strcmp(cmd,'gen_data') & (fig) H.Data_Imported=0; set(fig,'UserData',H); elseif strcmp(cmd,'have_file') & (fig) ImportStr=arg1; H.Data_Imported=1; if nargin==3 Data_Name=arg2; else U_Name=arg2; Y_Name=arg3; end end set(H.Train_con,'enable','off') set(H.Cancel_but,'enable','off') set(H.OK_but,'enable','off') set(H.Apply_but,'enable','off') set(H.Handles.Menus.File.Save_NN,'enable','off') set(H.Handles.Menus.File.Save_Exit_NN,'enable','off') if (strcmp(cmd,'gen_data') | strcmp(cmd,'have_file'))%strcmp(cmd,'start_training') arg1=get(H.gcbh_ptr,'userdata'); a1 = str2num(get(H.max_r_edit,'string')); if length(a1) == 0, max_r=get_param(arg1,'max_r'); present_error(fig,H,H.max_r_edit,max_r,1, ... 'Please correct the maximum reference value'); return else max_r=a1; set(H.max_r_ptr,'userdata',a1); end a1 = str2num(get(H.min_r_edit,'string')); min_r=get_param(arg1,'min_r'); if length(a1) == 0, present_error(fig,H,H.min_r_edit,min_r,1, ... 'Please correct the minimum reference value.'); return elseif a1>=max_r present_error(fig,H,H.min_r_edit,min_r,1, ... 'Please correct the maximum and minimum reference values.'); return else min_r=a1; set(H.min_r_ptr,'userdata',a1); end a1 = str2num(get(H.max_r_int_edit,'string')); if (length(a1) == 0) | a1<=0, max_r_int=get_param(arg1,'max_r_int'); present_error(fig,H,H.max_r_int_edit,max_r_int,1, ... 'You must enter a valid number for the maximum interval value over which the random input is constant.'); return else max_r_int=a1; set(H.max_r_int_ptr,'userdata',a1); end a1 = str2num(get(H.min_r_int_edit,'string')); min_r_int=get_param(arg1,'min_r_int'); if (length(a1) == 0) | a1<=0, present_error(fig,H,H.mi