Running a Simulink model with real-time data acquisition and plotting through a GUI, updated using listeners, can indeed slow down the simulation. This slowdown is due to factors such as continuously monitoring signals, updating plots with each change, and rendering the GUI. Below are some points which can help you improve performance.
1. Instead of redrawing the entire plot, try updating only the values that have changed. You can use the "set" function to achieve this efficiently. Additionally, preallocating memory for large data sets can improve performance.
2. You can decrease the frequency of listener updates by, for instance, refreshing the plot after a few simulation steps or seconds.
3. If not already in use, consider employing fixed-step solvers, as they can be more efficient for real-time applications.
4. You can also utilize the MATLAB Profiler to identify bottlenecks in your code and optimize those sections for better performance.
Kindly refer to the documentations below for more details on "set" and "profiler":
Hope it helps!
