📄 connonli.m
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function [ret,x0,str,ts,xts]=connonli(t,x,u,flag);
%CONNONLI is the M-file description of the SIMULINK system named CONNONLI.
% CONNONLI has a the following characteristics:
% 0 continuous states
% 3 discrete states
% 3 outputs
% 2 inputs
% has direct feedthrough
% 1 sample times
%
% The block-diagram can be displayed by typing: CONNONLI.
%
% SYS=CONNONLI(T,X,U,FLAG) returns depending on FLAG certain
% system values given time point, T, current state vector, X,
% and input vector, U.
% FLAG is used to indicate the type of output to be returned in SYS.
%
% Setting FLAG=1 causes CONNONLI to return state derivatives, FLAG=2
% discrete states, FLAG=3 system outputs and FLAG=4 next sample
% time. For more information and other options see SFUNC.
%
% Calling CONNONLI with a FLAG of zero:
% [SIZES]=CONNONLI([],[],[],0), returns a vector, SIZES, which
% contains the sizes of the state vector and other parameters.
% SIZES(1) number of states
% SIZES(2) number of discrete states
% SIZES(3) number of outputs
% SIZES(4) number of inputs
% SIZES(5) number of roots (currently unsupported)
% SIZES(6) direct feedthrough flag
% SIZES(7) number of sample times
%
% For the definition of other parameters in SIZES, see SFUNC.
% See also, TRIM, LINMOD, LINSIM, EULER, RK23, RK45, ADAMS, GEAR.
% Note: This M-file is only used for saving graphical information;
% after the model is loaded into memory an internal model
% representation is used.
% the system will take on the name of this mfile:
sys = mfilename;
new_system(sys)
simver(1.3)
if (0 == (nargin + nargout))
set_param(sys,'Location',[93,191,726,606])
open_system(sys)
end;
set_param(sys,'algorithm', 'RK-45')
set_param(sys,'Start time', '0.0')
set_param(sys,'Stop time', '999999')
set_param(sys,'Min step size', '0.0001')
set_param(sys,'Max step size', '10')
set_param(sys,'Relative error','1e-3')
set_param(sys,'Return vars', '')
add_block('built-in/Unit Delay',[sys,'/','Unit Delay2'])
set_param([sys,'/','Unit Delay2'],...
'orientation',2,...
'position',[180,215,230,235])
add_block('built-in/Logical Operator',[sys,'/',['Logical',13,'Operator3']])
set_param([sys,'/',['Logical',13,'Operator3']],...
'orientation',2,...
'ForeGround',4,...
'hide name',0,...
'Operator','AND',...
'position',[180,165,230,200])
add_block('built-in/Logical Operator',[sys,'/',['Logical',13,'Operator4']])
set_param([sys,'/',['Logical',13,'Operator4']],...
'orientation',2,...
'ForeGround',4,...
'hide name',0,...
'Operator','AND',...
'position',[385,165,435,200])
add_block('built-in/Logical Operator',[sys,'/',['Logical',13,'Operator2']])
set_param([sys,'/',['Logical',13,'Operator2']],...
'ForeGround',4,...
'hide name',0,...
'Operator','XOR',...
'position',[390,115,435,150])
add_block('built-in/Unit Delay',[sys,'/','Unit Delay3'])
set_param([sys,'/','Unit Delay3'],...
'position',[480,127,530,143])
add_block('built-in/Outport',[sys,'/','Outport3'])
set_param([sys,'/','Outport3'],...
'Port','3',...
'position',[585,125,605,145])
add_block('built-in/Unit Delay',[sys,'/','Unit Delay1'])
set_param([sys,'/','Unit Delay1'],...
'position',[175,122,225,138])
add_block('built-in/Logical Operator',[sys,'/',['Logical',13,'Operator']])
set_param([sys,'/',['Logical',13,'Operator']],...
'ForeGround',4,...
'hide name',0,...
'Operator','XOR',...
'Number of Input Ports','4',...
'position',[110,100,145,155])
add_block('built-in/Logical Operator',[sys,'/',['Logical',13,'Operator1']])
set_param([sys,'/',['Logical',13,'Operator1']],...
'ForeGround',4,...
'hide name',0,...
'Operator','XOR',...
'position',[270,105,315,140])
add_block('built-in/Inport',[sys,'/','Inport2'])
set_param([sys,'/','Inport2'],...
'ForeGround',3,...
'Port','2',...
'position',[25,60,45,80])
add_block('built-in/Outport',[sys,'/','Outport2'])
set_param([sys,'/','Outport2'],...
'Port','2',...
'position',[590,60,610,80])
add_block('built-in/Note',[sys,'/',['This model demonstrates how to build a convolutional code nonlinear',13,'transfer function using SIMULINK block diagram. The key blocks ',13,'to construct a nonlinear convolution code block diagram are: ']])
set_param([sys,'/',['This model demonstrates how to build a convolutional code nonlinear',13,'transfer function using SIMULINK block diagram. The key blocks ',13,'to construct a nonlinear convolution code block diagram are: ']],...
'position',[255,245,260,250])
add_block('built-in/Note',[sys,'/',['Inport block -- input sequence. ',13,'Outport block -- output sequence.',13,'Unit delay blocks -- registers. ']])
set_param([sys,'/',['Inport block -- input sequence. ',13,'Outport block -- output sequence.',13,'Unit delay blocks -- registers. ']],...
'position',[210,290,215,295])
add_block('built-in/Inport',[sys,'/','Inport1'])
set_param([sys,'/','Inport1'],...
'position',[15,15,35,35])
add_block('built-in/Outport',[sys,'/','Outport1'])
set_param([sys,'/','Outport1'],...
'position',[540,15,560,35])
add_block('built-in/Note',[sys,'/','Use the MATLAB function SIM2TRAN to generate the transfer function.'])
set_param([sys,'/','Use the MATLAB function SIM2TRAN to generate the transfer function.'],...
'position',[255,340,260,345])
add_block('built-in/Note',[sys,'/',['At the MATLAB prompt, type fig_10_9 for a demonstration of building a linear',13,'convolutional code. ']])
set_param([sys,'/',['At the MATLAB prompt, type fig_10_9 for a demonstration of building a linear',13,'convolutional code. ']],...
'position',[275,360,280,365])
add_line(sys,[50,70;585,70])
add_line(sys,[40,25;535,25])
add_line(sys,[75,25;75,105;105,105])
add_line(sys,[50,70;60,70;60,120;105,120])
add_line(sys,[440,135;475,135])
add_line(sys,[535,135;580,135])
add_line(sys,[175,225;45,225;45,135;105,135])
add_line(sys,[150,130;170,130])
add_line(sys,[230,130;265,130])
add_line(sys,[240,25;240,115;265,115])
add_line(sys,[320,125;385,125])
add_line(sys,[175,185;85,185;85,150;105,150])
add_line(sys,[330,125;330,175;235,175])
add_line(sys,[380,185;365,185;365,140;385,140])
add_line(sys,[460,70;460,175;440,175])
add_line(sys,[550,135;550,225;235,225])
add_line(sys,[550,190;440,190])
add_line(sys,[295,225;295,190;235,190])
drawnow
% Return any arguments.
if (nargin | nargout)
% Must use feval here to access system in memory
if (nargin > 3)
if (flag == 0)
eval(['[ret,x0,str,ts,xts]=',sys,'(t,x,u,flag);'])
else
eval(['ret =', sys,'(t,x,u,flag);'])
end
else
[ret,x0,str,ts,xts] = feval(sys);
end
else
drawnow % Flash up the model and execute load callback
end
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