nonlinear data fitting for a system of ODE using lsqcurvefit (finding unknown parameters)

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I have a set of experimental data in staedy state condtion(without time dependent). This experiment has been done at 4 different concentration including 3 compounds. the values of concentration at inlet(x=0) and outlet(x=1) are known. i used ODE15s to solve the differenial equations and find the values at outlet and then compare them with real values to find the unknown kinitic parameters(i followed https://www.mathworks.com/matlabcentral/answers/43439-monod-kinetics-and-curve-fitting#comment_89455). but when i ran the code i got some error as below: Not enough input arguments.
Error in Untitled10>objfun (line 25)
[tSol,YSol]=ode15s(@diffeq,x,Z);
Error in lsqcurvefit (line 202)
initVals.F = feval(funfcn_x_xdata{3},xCurrent,XDATA,varargin{:});
Error in Untitled10 (line 20)
[kfit,Rsdnrm,Rsd,ExFlg,OptmInfo,Lmda,Jmat]=lsqcurvefit(@objfun,K,Cin,yy)
Caused by:
Failure in initial objective function evaluation. LSQCURVEFIT cannot continue.
  3 个评论
Star Strider
Star Strider 2018-11-2
@Mojtaba Malayeri — Please post the image you included with your previous (now deleted) Question.
It is essential to understanding what you want to do.

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采纳的回答

Matt J
Matt J 2018-11-2
编辑:Matt J 2018-11-2
[kfit,Rsdnrm,Rsd,ExFlg,OptmInfo,Lmda,Jmat]=lsqcurvefit(@(K) objfun(K,Y0,x),K,Cin,yy)
  23 个评论
Moji
Moji 2018-11-3
编辑:Moji 2018-11-3
Thanks for the suggestion. i implimened all case of options, but the issue still persists. very large erorr.

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