Abstract
Neural networks are being developed at McDonnell Douglas Corporation to provide an onboard model of an aircraft's aerodynamics to support advanced flight control systems. These flight control systems, constructed using neural networks and advanced controllers, have the potential to reduce flight control development costs and to improve inflight performance. Neural networks are useful in this situation because they can compactly represent the data and operate in real-time
Recommended Citation
G. E. Peterson et al., "Using Neural Networks for Aerodynamic Parameter Modeling," Proceedings of the 1995 American Control Conference, Institute of Electrical and Electronics Engineers (IEEE), Jan 1995.
The definitive version is available at https://doi.org/10.1109/ACC.1995.520972
Meeting Name
1995 American Control Conference
Department(s)
Computer Science
Keywords and Phrases
McDonnell Douglas Corporation; Advanced Flight Control Systems; Aerodynamic Parameter Modeling; Aerodynamics; Aircraft Aerodynamics; Aircraft Control; Flight Control Development Cost Reduction; Modelling; Neural Networks; Neurocontrollers
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 1995 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 1995
