The so called “learned control” is the output of a machine learning algorithm that has been generally trained using real-world human driving data on specific vehicles in specific operating conditions.
As such, the machine learning approach inevitably suffers from limited applicability of the learned control to different vehicles in different operating conditions. The human control recorded on a vehicle could easily lead to a different outcome in terms of positioning, stability and comfort when transferred to another vehicle or simply to the same vehicle under different operating conditions.
BHAITECH MOTION CONTROL ® provides a solution which makes it possible the sharing of raw learned control among different vehicle in different operating conditions.
The output of BHAITECH MOTION CONTROL ® is the operating control obtained from the test of the learned control against the actual vehicle dynamics.