I want to define an objective function and pass the following arguments to fmincon
I have a confusion here,
p0 is the initial value of parameters, A,b,Aeq,beq are linear equality and inequality constraints, which is (A=[ ],b=[ ],Aeq=[ ],beq=[ ]) in my case.lb and ub are the bounds of paramaters and ncoln is the nonlinear constraints that are the differential equations taht will be generated from my model present in xml file.
I've already specified p0,lb,ub in estimatedParam array with properties Name, InitialValue and Bounds
let me summarize my understanding of your problem and please correct me if I'm wrong:
you only have steady state data for several experimental conditions
there is no other data to fit the model to
you also have parameter bounds
Is this correct?
If yes, I suggest to create a dataset with these steady state data as explained here. If this is experimental data, you will know when this data was measured so you can build a table with time points and measurements.
Then you can use sbiofit to fit your model to those data points. Again, the App will be of great help.