MATLAB: How to use LSQNONLIN or LSQCURVEFIT when the function has a derivative form

fit lsqnonlin least squares method

I would like to use the least squares method to determine specific parameters. Knowing the time step, dt, time,t(i), and displacement, u(i), for every step i, the equation is the following:
F0(i)=k1*u(i)^k2
F1(i)=(F1(i-1)+k3*u(i)-k3*u(i-1))*(k4/(k4+k3*dt))
Y(i)=F0(i)+F1(i)=(k1*u(i)^k2)+(F1(i-1)+k3*u(i)-k3*u(i-1))*(k4/(k4+k3*dt))
or if it is more convenient for anyone (assuming that dF1(i)/dt=(F1(i)-F1(i-1))/dt) :
Y(i)=(k1*u(i)^k2)+(k4*u(i)-(k4/k3)*dF1(i)/dt)
Y_exp is the expected output, and the parameters I want to determine are the k1,k2,k3,k4. The thing that worries me the most, is the dependence of time step i on i-1 time step.
ANY IDEAS?

Best Answer

It’s difficult for me to follow what you’re doing. If you want to fit a (perhaps kinetic) differential equation to data, you can use the techniques in Monod kinetics and curve fitting.
Related Question