Minimization of two simultaneous ODES with shared parameters
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Hi;
I have a system of two odes having shared k parameters. I want to integrate them using ode23 or similar and optimizing the k values by fitting to experimental data for c. I am lacking experimental data for L since it not assessible for measurement. I am not sure how execute this and any help is very appreciated.
% Two simulat. eqns describing system to be solved.
dcdt = -dcdz/tau + (RHOcat/EPS)*(-k(1)*.c + k(2)*.L);
dLdt = k(1)*.c - k(2)*.L - k(3)*.L;
% Minization of experimental data to model
[k,Rsdnrm,Rsd,ExFlg,OptmInfo,Lmda,Jmat]=lsqcurvefit(@kinetics,k0,t,c)
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Sulaymon Eshkabilov
2023-1-8
If you all other parameter values, then you can write a fcn handle or function file of the two ODEs. Then find the system solution symbolically.
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