NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Back to Results
Neural computing for numeric-to-symbolic conversion in control systemsA type of neural network, the multilayer perceptron, is used to classify numeric data and assign appropriate symbols to various classes. This numeric-to-symbolic conversion results in a type of information extraction, which is similar to what is called data reduction in pattern recognition. The use of the neural network as a numeric-to-symbolic converter is introduced, its application in autonomous control is discussed, and several applications are studied. The perceptron is used as a numeric-to-symbolic converter for a discrete-event system controller supervising a continuous variable dynamic system. It is also shown how the perceptron can implement fault trees, which provide useful information (alarms) in a biological system and information for failure diagnosis and control purposes in an aircraft example.
Document ID
19890049863
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Passino, Kevin M.
(Notre Dame Univ. IN, United States)
Sartori, Michael A.
(Notre Dame Univ. IN, United States)
Antsaklis, Panos J.
(Notre Dame, University IN, United States)
Date Acquired
August 14, 2013
Publication Date
April 1, 1989
Publication Information
Publication: IEEE Control Systems Magazine
Volume: 9
ISSN: 0272-1708
Subject Category
Cybernetics
Accession Number
89A37234
Funding Number(s)
CONTRACT_GRANT: DAAL03-88-K-0144
CONTRACT_GRANT: JPL-957856
Distribution Limits
Public
Copyright
Other

Available Downloads

There are no available downloads for this record.
No Preview Available