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.
RELATED APPLICATIONS
This application claims priority to U.S. Provisional Patent Application No. 60/449,182, filed on Feb. 21, 2003, and U.S. Provisional Patent Application No. 60/453,113, filed on Mar. 7, 2003, and is a continuation-in-part of U.S. patent application Ser. No. 10/631,934, filed Jul. 31, 2003, now U.S. Pat. No. 7,203,716 which claims priority to U.S. Provisional Patent Application No. 60/429,053, filed Nov. 25, 2002, all of which are herein incorporated by reference in their entirety.
