Digital twin models may enhance future autonomous systems
Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests.
Using machine learning tools to create a digital twin, or a virtual copy, of an electronic circuit that exhibits chaotic behavior, researchers found that they were successful at predicting how it would behave and using that information to control it.
Many everyday devices, like thermostats and cruise control, utilize linear controllers — which use simple rules to direct a system to a desired value...
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