DocumentCode
1889690
Title
Robust spacecraft attitude control using fuzzy CMAC
Author
Kwan, C.M. ; Xu, H. ; Lewis, F.L. ; Haynes, L. ; Pryor, J.D.
Author_Institution
Intelligent Autom. Inc., Rockville, MD, USA
fYear
1996
fDate
15-18 Sep 1996
Firstpage
43
Lastpage
48
Abstract
In this paper, we propose to use a new neural network called fuzzy CMAC (cerebellar model arithmetic computer) to tackle the attitude control problem. The advantages are no linearity in the system parameter assumption is needed and no upper bounds of unknown parameters is required. An online tuning scheme with no off-line training phase is used to update the weights in the neural network. Attitude tracking errors are guaranteed to be bounded
Keywords
aerospace control; attitude control; cerebellar model arithmetic computers; fuzzy control; fuzzy neural nets; neurocontrollers; robust control; space vehicles; attitude tracking errors; fuzzy CMAC; neural network; online tuning scheme; robust spacecraft attitude control; weight updating; Computer errors; Computer networks; Digital arithmetic; Fuzzy control; Fuzzy neural networks; Linearity; Neural networks; Robust control; Space vehicles; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on
Conference_Location
Dearborn, MI
ISSN
2158-9860
Print_ISBN
0-7803-2978-3
Type
conf
DOI
10.1109/ISIC.1996.556175
Filename
556175
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