Looking for a way to develop actuator displacement signals on an Adams rig capable of reproducing measured responses on a test (physical) vehicle. Any suggestions for tools or processes?
Looking for a way to develop actuator displacement signals on an Adams rig capable of reproducing measured responses on a test (physical) vehicle. Any suggestions for tools or processes?
I've been spending a lot of time lately developing a reinforced learning connection between Adams and Bonsai (Microsoft's reinforced learning AI).
This actually could be a very good example to apply that technique to. Let me know of you are interested to learn more. My email is jslat@hexagon.com
The only problem I can see is that it will take quite some time to do the training and the trained neural network will likely only work for vehicles in a similar size and weight range. But training can be sped up by running multiple parallel runs. We are looking for early adopter projects and could give you the chance to try this out for free (or close to).
I've been spending a lot of time lately developing a reinforced learning connection between Adams and Bonsai (Microsoft's reinforced learning AI).
This actually could be a very good example to apply that technique to. Let me know of you are interested to learn more. My email is jslat@hexagon.com
The only problem I can see is that it will take quite some time to do the training and the trained neural network will likely only work for vehicles in a similar size and weight range. But training can be sped up by running multiple parallel runs. We are looking for early adopter projects and could give you the chance to try this out for free (or close to).
