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Neural Network Based Modeling and Analysis of LP Control Surface AllocationThis paper presents an approach to interpretive modeling of LP based control allocation in intelligent flight control. The emphasis is placed on a nonlinear interpretation of the LP allocation process as a static map to support analytical study of the resulting closed loop system, albeit in approximate form. The approach makes use of a bi-layer neural network to capture the essential functioning of the LP allocation process. It is further shown via Lyapunov based analysis that under certain relatively mild conditions the resulting closed loop system is stable. Some preliminary conclusions from a study at Ames are stated and directions for further research are given at the conclusion of the paper.
Document ID
20030065888
Acquisition Source
Ames Research Center
Document Type
Other
Authors
Langari, Reza (NASA Ames Research Center Moffett Field, CA, United States)
Krishnakumar, Kalmanje (NASA Ames Research Center Moffett Field, CA, United States)
Gundy-Burlet, Karen (NASA Ames Research Center Moffett Field, CA, United States)
Date Acquired
September 7, 2013
Publication Date
May 29, 2003
Subject Category
Aircraft Stability And Control
Meeting Information
Meeting: AIAA GNC Conference
Location: Austin, TX
Country: United States
Start Date: August 11, 2003
End Date: August 14, 2003
Sponsors: American Inst. of Aeronautics and Astronautics
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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