A train control system (100) 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 (312), a first set of output control commands from a centralized virtual system modeling engine (324), and a second set of output control commands from a distributed virtual system modeling engine (324). 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.
Artificial intelligence watchdog for distributed system synchronization
2022-09-29
Patent
Electronic Resource
English
ARTIFICIAL INTELLIGENCE WATCHDOG FOR DISTRIBUTED SYSTEM SYNCHRONIZATION
European Patent Office | 2021
|Artificial intelligence watchdog for distributed system synchronization
European Patent Office | 2022
|ARTIFICIAL INTELLIGENCE WATCHDOG FOR DISTRIBUTED SYSTEM SYNCHRONIZATION
European Patent Office | 2021
|