The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 11, 2026

Filed:

Mar. 18, 2022
Applicant:

The Boeing Company, Chicago, IL (US);

Inventors:

Sean Soleyman, Calabasas, CA (US);

Yang Chen, Westlake Village, CA (US);

Fan Hin Hung, Los Angeles, CA (US);

Deepak Khosla, Camarillo, CA (US);

Navid Naderializadeh, Woodland Hills, CA (US);

Assignee:

The Boeing Company, Chicago, IL (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G05D 1/00 (2024.01); B64F 5/60 (2017.01); G05B 13/02 (2006.01); G05D 1/617 (2024.01); G05D 101/10 (2024.01); G05D 101/15 (2024.01); G06F 30/15 (2020.01); G06F 30/27 (2020.01); G06N 3/04 (2023.01); G06N 3/044 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G05D 1/0088 (2013.01); B64F 5/60 (2017.01); G05B 13/027 (2013.01); G05D 1/00 (2013.01); G05D 1/1064 (2019.05); G05D 1/617 (2024.01); G06F 30/15 (2020.01); G06F 30/27 (2020.01); G06N 3/04 (2013.01); G06N 3/044 (2023.01); G06N 3/08 (2013.01); G05D 2101/10 (2024.01); G05D 2101/15 (2024.01);
Abstract

Training a compressive encoder is provided. The method comprises calculating a difference between a current state of an aircraft and a previous state. The current state comprises a reduced state wherein the value of a specified parameter is missing. The difference is input into compressive layers of a neural network comprising an encoder. The compressive layers learn, according to the difference, a value for the missing parameter. The current state and learned value are concurrently fed into hidden layers of a fully connected neural network comprising a decoder. An action applied to the aircraft is input into the hidden layers concurrently with the current state and learned value. The hidden layers, according to the current state, learned value, and current action, determine a residual output that comprises an incremental difference in the state of the aircraft resulting from the current action.


Find Patent Forward Citations

Quick Actions:

Soleyman, Sean. (2026). Predictive modeling of aircraft dynamics (U.S. Patent No. 12704839). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12704839

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