Rate constant estimation and optimization (ODE)
5 次查看(过去 30 天)
显示 更早的评论
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 个评论
回答(1 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Ordinary Differential Equations 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!