US 11,687,772 B2
Optimization of cyber-physical systems
Shuchu Han, Princeton Junction, NJ (US); LuAn Tang, Pennington, NJ (US); and Haifeng Chen, West Windsor, NJ (US)
Assigned to NEC Corporation, Tokyo (JP)
Filed by NEC Laboratories America, Inc., Princeton, NJ (US)
Filed on Jul. 11, 2019, as Appl. No. 16/508,512.
Claims priority of provisional application 62/697,504, filed on Jul. 13, 2018.
Prior Publication US 2020/0019858 A1, Jan. 16, 2020
Int. Cl. G06N 3/08 (2023.01); G06N 3/04 (2023.01)
CPC G06N 3/08 (2013.01) [G06N 3/04 (2013.01)] 19 Claims
OG exemplary drawing
 
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.