example3_14.m

This complete matlab for neural network

%编写返回差值的.m文件
function F = tracklsq(pid,a1,a2)
% 设置PID参数
Kp = pid(1);
Ki = pid(2);
Kd = pid(3);
% 返回输出值
opt = simset('solver','ode5','SrcWorkspace','Current');
[tout,xout,yout] = sim('optsim',[0 100],opt);
%返回差值
F = yout-1;

%调用优化函数
%调入闭环系统模型
optsim
%设置PID参数初值
pid0=[0.63,0.0503,1.9688];
%初始化非线性处理单元的变量
a1=3;
a2=33;
options=optimset('largescale','off','display',...
   'iter','tolx', 0.001,'tolfun',0.001);
pid=lsqnonlin('tracklsq',pid0,[],[],options,a1,a2)