Artificial intelligence watchdog for distributed system synchronization
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United States of America Patent
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Sep 20, 2022
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N/A
app pub date -
Oct 11, 2019
filing date -
Oct 11, 2019
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Abstract
A train control system uses artificial intelligence for maintaining synchronization between centralized and distributed train control models. A machine learning engine receives training data from a data acquisition hub, a first set of output control commands from a centralized virtual system modeling engine, and a second set of output control commands from a distributed virtual system modeling engine. The machine learning engine compares the first set of output control commands and the second set of output control commands, and trains a learning system using the training data to enable the machine learning engine to safely mitigate any difference between the first and second sets of output control commands using a learning function including at least one learning parameter.
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