|국가/구분||United States(US) Patent 등록|
|국제특허분류(IPC7판)||G06F-015/18 G06J-001/00 G06N-003/00|
|미국특허분류(USC)||706/037; 706/015; 706/016|
|발명자 / 주소|
|출원인 / 주소|
|대리인 / 주소||
|인용정보||피인용 횟수 : 5 인용 특허 : 8|
Described are systems and methods for determining the gross weight of an aircraft. A flight regime is determined based on one or more inputs. A neural net is selected based on a flight regime. The neural net inputs may include derived values. A first estimate of the gross weight is produced by the selected neural net. The first estimate is used, along with other inputs, with a Kalman filter to produce a final gross weight estimate. The Kalman filter blends or fuses together its inputs to produce the final gross weight estimate.
What is claimed is: 1. A method for determining a weight of an aircraft comprising: determining a flight regime corresponding to a current flight state of the aircraft in accordance with one or more inputs characterizing said current flight state of the aircraft; selecting a neural net in accordance with said flight regime, wherein said neural net is selected from a plurality of neural nets, each of said plurality of neural nets being trained to determine said weight of said aircraft for at least one flight regime based on a relationship between said we...