Matlab uses m file to produce fuzzy controller

A friend asked a question , You want to optimize the universe of fuzzy control through particle swarm optimization , under these circumstances , You can't go straight through matlab Of fuzzy Toolbox to generate automatically fis Fuzzy file , Need to pass through M File generation fuzzy controller , And write it as a function for easy calling ,

Early fuzzy control and particle swarm gate ：

matlab Use of fuzzy control toolbox and fuzzy control pid Example reference （ One ）

matlab Use of fuzzy control toolbox and fuzzy control pid Example reference （ Two ）

Particle swarm optimization algorithm （PSO）

Particle swarm optimization algorithm -Python Version and Matlab Function call

Give an example as follows ：

%%
clc
close all
clear
FIS = newfis('FIS','sugeno');
%%
%  Define input E:
FIS = addvar(FIS,'input','E',[-10 10]);

FIS = addmf(FIS,'input',1,'Negative','gaussmf',[7 -10]);

FIS = addmf(FIS,'input',1,'Positive','gaussmf',[7 10]);

%%
%  Define input CE:

FIS = addvar(FIS,'input','CE',[-10 10]);

FIS = addmf(FIS,'input',2,'Negative','gaussmf',[7 -10]);

FIS = addmf(FIS,'input',2,'Positive','gaussmf',[7 10]);

%%
%  Define the output u:

FIS = addvar(FIS,'output','u',[-20 20]);

FIS = addmf(FIS,'output',1,'Min','constant',-20);

FIS = addmf(FIS,'output',1,'Zero','constant',0);

FIS = addmf(FIS,'output',1,'Max','constant',20);

%%
%  Define the rules :
%  Format ： Input 1~  Input 2~  Output ~  The weight （ The default is ：1) logical relationship （1=and;2=or)
ruleList = [1 1 1 1 1;...   % Rule 1

       1 2 2 1 1;...   % Rule 2

       2 1 2 1 1;...   % Rule 3

       2 2 3 1 1];    
    
 FIS = addrule(FIS,ruleList); 

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