NDLI: A validation methodology for neural network based flight control systems

Content Provider	IEEE Xplore Digital Library
Author	Swern, F.L. van der Veen, A.P.
Copyright Year	1994
Description	Author affiliation: Dept. of Mech. Eng., Stevens Inst. of Technol., Hoboken, NJ, USA (Swern, F.L.; van der Veen, A.P.)
Abstract	A significant problem associated the inclusion of a neural network in an avionics system is validating that system to the required reliability level. To accomplish this, it is necessary to associate a "probability of failure" with the neural network and, ultimately, with the operational flight program. It would be more correct to say that the probability of excitation of the network in an unvalidated portion of its input space is required. In this sense, estimation errors associated with neural networks are like latent hardware faults, and techniques that were previously used to measure the probability of failure of hardware due to fault latency can be used to measure the probability of failure of the network. A methodology was developed and applied to a flight controller designed to operate in a well defined environment. The controller incorporated a network to estimate nonlinear portions of plant performance. The results of the study indicates that the technique could be used to provide a final validation of the network and the controller to a specified reliability level and to evaluate the role of flight test in network validation.<>
Starting Page	348
Ending Page	352
File Size	424605
Page Count	5
File Format	PDF
ISBN	0780324250
DOI	10.1109/DASC.1994.369458
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-10-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Aerospace control Aerospace electronics Aircraft System testing Performance evaluation Virtual manufacturing Aerospace engineering Reliability engineering Estimation error
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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