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An introduction to autonomous control systemsThe functions, characteristics, and benefits of autonomous control are outlined. An autonomous control functional architecture for future space vehicles that incorporates the concepts and characteristics described is presented. The controller is hierarchical, with an execution level (the lowest level), coordination level (middle level), and management and organization level (highest level). The general characteristics of the overall architecture, including those of the three levels, are explained, and an example to illustrate their functions is given. Mathematical models for autonomous systems, including 'logical' discrete event system models, are discussed. An approach to the quantitative, systematic modeling, analysis, and design of autonomous controllers is also discussed. It is a hybrid approach since it uses conventional analysis techniques based on difference and differential equations and new techniques for the analysis of the systems described with a symbolic formalism such as finite automata. Some recent results from the areas of planning and expert systems, machine learning, artificial neural networks, and the area restructurable controls are briefly outlined.
Document ID
19910059307
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Antsaklis, Panos J.
(Notre Dame, University IN, United States)
Passino, Kevin M.
(Ohio State University Columbus, United States)
Wang, S. J.
(JPL Pasadena, CA, United States)
Date Acquired
August 15, 2013
Publication Date
June 1, 1991
Publication Information
Publication: IEEE Control Systems Magazine
Volume: 11
ISSN: 0272-1708
Subject Category
Cybernetics
Accession Number
91A43930
Funding Number(s)
CONTRACT_GRANT: JPL-957856
Distribution Limits
Public
Copyright
Other

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