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:
Sep. 23, 2025

Filed:

Jun. 03, 2024
Applicant:

Beihang University, Beijing, CN;

Inventors:

Shunkun Yang, Beijing, CN;

Qi Yao, Beijing, CN;

Zhiyu Duan, Beijing, CN;

Qi Shao, Beijing, CN;

Assignee:

Beihang University, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
B64F 5/60 (2017.01); G06F 17/11 (2006.01);
U.S. Cl.
CPC ...
B64F 5/60 (2017.01); G06F 17/11 (2013.01);
Abstract

A multi-modal multi-objective testing data generation method based on topology adaptive resonance theory is disclosed. The method considers that that the test aircraft under what kind of external disturbance or its own system fault conditions will be close to multiple index thresholds of unreliable or unsafe state at the same time as a black box optimization testing problem. The testing data is generated through optimization algorithms to test the aircraft state under different disturbance conditions. This type of black box optimization problem belongs to multi-modal multi-objective optimization problems. The testing problem can be solved using a multi-modal multi-objective particle swarm optimization algorithm based on adaptive resonance topology network. The external disturbance variable parameter combination encountered by the aircraft is regarded as the particle position, and the optimal parameter combination is found by iteratively updating the particle position.


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