Rate constant estimation and optimization (ODE)
5 views (last 30 days)
Show older comments
I am totally new to matlab coding. I have written a code on a simple ODE "dCdt=-k1*CS*CH". I want to find the 'k' value and optimize it such that the error between my experimental and calculated concentration values is low. The code runs, but it accepts all the initial guess 'k' values. How should I find my actual 'k' value.
function SSE=myobjective(C,CS)
err=C-CS;
SSE=sum(err.^2)
k1=.001;
tspan=linspace(1,5,6);
CS0=2;
CH=1;
CS=[1.8 .78 .40 .16 .071 .022]';
[t,C]=ode45(@(t,CS) funcatalyst(t,CS,CH, k1),tspan,CS0)
options=optimset('display','iter','largescale','off','maxiter',10000,'maxfunevals',10000);
[k, fval,exitflag,output]=fminsearch(@(k) myobjective(C,CS), k1, options)
0 Comments
Answers (1)
See Also
Categories
Find more on Ordinary Differential Equations in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!