CPC G06N 3/08 (2013.01) [G06N 3/04 (2013.01)] | 19 Claims |
1. A method for optimizing performance of a cyber-physical system, comprising:
training a machine learning model, according to sensor data from the cyber-physical system, to generate one or more parameters for controllable sensors in the cyber-physical system that optimize a performance indicator;
collecting new sensor data from the controllable sensors the cyber-physical system, wherein the controllable sensors measure controllable properties of the cyber-physical system;
generating one or more parameters for the controllable sensors using the trained machine learning model and the new sensor data; and
applying the one or more parameters to the controllable sensors to change the controllable properties of the cyber-physical system to optimize the performance of the cyber-physical system.
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