How to do simultaneous curve fitting for two model equations having common constants ??

I am having two different model equations and also experimental data respectively. Both model equations are having common constants. Is there any way to do curve fitting for both the models simultaneously. So that final values constants can satisfy both the model equations ??

[Moji]

I have the same problem, how did you figure it out?

[Yugal Gupta]

Thanks for asking. I used Extended Kalman Filter(since my model was nonlinear). We can easily incorporate simultaneous curve fitting for any number of functions here. Go through these weblinks or some other documentations. https://in.mathworks.com/help/control/ug/extended-and-unscented-kalman-filter-algorithms-for-online-state-estimation.html >

https://in.mathworks.com/help/control/ref/extendedkalmanfilter.html

Answer 1

[Matt J]

Two model equations are really only one model equation when you make the equation vector-valued. LSQCURVEFIT can easily handle vector-valued curves of any dimension.

[Yugal Gupta]

Dear Matt J, Can you please attach any documentation on this. I don't know, how to make equation vector valued for LSQCURVEFIT. Thank You.