It means either MatGPT is not installed or not on the MATLAB path. I would like to suggest a simpler alternative that runs on your browser: AI Chat Playground. www.mathworks.com/matlabcentral/playground/ No installation necessary.

Yes, they were really good!

Yes they are. Are you inspired? Join the Global Drone Student Competition! www.mathworks.com/academia/students/competitions/minidrones/global-drone-student-challenge.html

That's awesome, I'm glad it helped!

It's with a plugin for UE4

They used Simulink 3D Animation, which uses Unreal Engine to render the animation. www.mathworks.com/products/3d-animation.html

Thank you for sharing your evaluation.

Thanks and congratulations for the winners!

Glad the video was useful.

There are two ways to open Driving Scenario Designer. - MATLAB Toolstrip: On the Apps tab, under Automotive, click the app icon. - MATLAB command prompt: Enter drivingScenarioDesigner. Read more here www.mathworks.com/help/driving/ref/drivingscenariodesigner-app.html

Thanks, glad you enjoyed it!

Glad you enjoyed it!

The reason for that is that the model is not starting in steady state. I tried to isolate the root cause by - setting the load current to 0, - setting the stop time to 25000 to see if a steady state will be reached after longer time - comment out cooling system to reduce heat flow here Then I had a look to the gases, that are expanded or compressed. Here you can also see that H2 pressure increases during the simulation, which will cause an increase of temperature, because of missing steady state at beginning of the simulation. I hope that helps.

Glad you found them helpful!

Glad it was helpful!

Thanks for the suggestion, we've got ideas for expanding this series in the future and will keep MBD and Simulink in mind.

Hi @bitterbum1, thanks for the suggestion! We have a lot of exciting tools coming for automated software testing in MATLAB. I'll pass your suggestion along to our developers.

Glad you liked it.

Glad you liked the video.

Hi @Malgro, great question. As with many aspects of data engineering, there’s no universal best answer, but your suggestion is what I generally recommend. One relatively simple approach is to take the list of requested sensors for the wide timetable, preallocate an appropriately sized timetable with NaNs for each requested sensor, then fill in the timetable with whatever sensors are actually available in the data file. That way if a requested sensor like ALT is removed at some point, the code doesn’t break, and you’ll see the sensor values drop out of the concatenated data. Note that if the sensors are recorded at different sample rates or timestamps, you may want a combination of the retime and synchronize functions to align them.

That's awesome.

Thanks!

Glad you found it helpful!

Glad you liked it

This just means that the block is not large enough to fit the transfer function in the block mask display. Please try resizing your block to a larger size.

It's in Vehicle Dynamics Blockset. Learn more www.mathworks.com/help/vdynblks/ug/3d-simulation-for-vehicle-dynamics-blockset.html

Glad you found it helpful.

Here we are tuning for a no-load condition. For different load torques you could try simulating and analyzing the performance if the PID controllers. If you are satisfied with it then you can use the same set of PID gains. If not you have tune a gain-scheduled PID controller to work for different load torques. You can use the gain-scheduled PID autotuner block for this use case. Please see this example: www.mathworks.com/help/slcontrol/ug/pmsm-tuning-using-gain-scheduled-pid-autotuner.html

Glad it was helpful!

I use OOP on MATLAB all the time.

@@Creative_Sushi-iu4hm For a personal project or a company project?

Thank you for sharing your experience.

Glad you like it.

Thank you for sharing your experience.

Thanks, glad you liked it!

Perhaps this example is helpful www.mathworks.com/help/control/ug/nonlinear-state-estimation-of-a-degrading-battery-system.html

Testing? What other topics?

@HansScharler For testing. And especially, make videos and courses for the Aerospace Blockset and Toolbox, LIDAR, and UAV Toolbox. I am a mechanical engineering student and am very interested in it.