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Predictor-Based Model Reference Adaptive ControlThis paper is devoted to the design and analysis of a predictor-based model reference adaptive control. Stable adaptive laws are derived using Lyapunov framework. The proposed architecture is compared with the now classical model reference adaptive control. A simulation example is presented in which numerical evidence indicates that the proposed controller yields improved transient characteristics.
Document ID
20110001626
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Lavretsky, Eugene
(Boeing Co. Huntington Beach, CA, United States)
Gadient, Ross
(Boeing Co. Huntington Beach, CA, United States)
Gregory, Irene M.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 25, 2013
Publication Date
July 1, 2010
Publication Information
Publication: Journal of Guidance, Control, and Dynamics
Volume: 33
Issue: 4
Subject Category
Mathematical And Computer Sciences (General)
Report/Patent Number
NF1676L-11434
AIAA Paper 5853
Meeting Information
Meeting: AIAA Guidance, Navigation, and Control Conference
Location: Chicago, IL
Country: United States
Start Date: August 10, 2009
End Date: August 13, 2009
Sponsors: American Inst. of Aeronautics and Astronautics
Funding Number(s)
CONTRACT_GRANT: NNL06AA04B
WBS: WBS 457280.02.07.07.02.01
Distribution Limits
Public
Copyright
Other

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