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Hello everyone, I am trying to fit a model of mine on a remote linux machine (Debian GNU/Linux 11 (bullseye)). I'd like to use MATLAB as a command line application and not use a X11 interface. I have not found any tutorial or suggestion in the documentation, as all examples either use the Simbiology app or the 'classical' Desktop version of MATLAB. I have already installed MATLAB on the server with all necessary add-ons, does someone have suggetions on how to proceed? Also considering that I am working on my local pc for the development nof the model and I need to 'transfer' my data to the MATLAB worksopace on the server.

SimBiology Model Analyzer の Fit Data タスクを実行すると、 Integration Tolerance Not Met のエラーが発生します。回避方法を教えてください。 kA031000000TCuvCAG 000068315

I am running a Fit Data task in Simbiology for a two step model: L + A <---> LA LA + BG <---> C The reaction rate for the two reactions are respectively: kon1*A*L - koff1*LA kon2*LA*BG - koff2*C I am using the concentration of C as my independent / response variable and time as my dependent / predictor variable to estimate the parameter "kon2"; the other three parameters are known. Every time I run the simulation, I get the following error: Integration Tolerance Not Met I have tried changing i) the initial value of "kon2", ii) the tolerance and number of iterations, and iii) the solver used to estimate the parameter, to no avail. What could be causing this error and how can I resolve this? kA031000000TCuvCAG 000068315

I read a sentence in the literature: "All fitting and simulations were performed using Simbiology®/MATLAB® R2017a software and SAAMII v.2.3 (The Epsilon group, Model parameters were collected from the literature. The unknown parameters were obtained by fitting the QSP model to the kinetics data. The unknown parameters were obtained by fitting the QSP model to the kinetics data of CART cells and cytokines in peripheral blood simultaneously ". The question is: using simbiology how to fit the data of both observed subjects simultaneously? What is the specific function? can fitproblem() accomplish this?

Can simbiology run a “Fit_data” task to a data containing missing values in “Use weight for each response” mode? I am trying to fit a model to a multi-dimensional time trajectory data with missing value using simbiology The average value of each response differs so much that I use “Use weight for each response” option, otherwise model fitting to the just one trajectory with the highest average value occurs. However, the fitting cannot be performed. The reason might be the NaN value returned during the calculation of the “weight” because my data contains NaN value in the original time trajectory data. Is my understanding correct? Please let me know if there is a way to run simbiology “Fit_data” task to a data containing missing value(NaN) in “Use weight for each response” mode.