DocumentCode
294403
Title
Exponential convergence of the tracking error in adaptive systems without persistent excitation
Author
Bayard, D.S. ; Spanos, J. ; Rahman, Z.
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume
1
fYear
1995
fDate
13-15 Dec 1995
Firstpage
208
Abstract
Conditions are investigated for exponential convergence of the tracking error in feedforward adaptive systems. A main result is that for a bounded periodic regressor, the tracking error associated with the adaptive gradient algorithm converges exponentially without regard to persistent excitation (PE) conditions
Keywords
adaptive control; feedforward; stability; adaptive gradient algorithm; adaptive systems; bounded periodic regressor; exponential convergence; feedforward adaptive systems; persistent excitation; tracking error convergence; Adaptive systems; Algorithm design and analysis; Autocorrelation; Convergence; Delay lines; Equations; Laboratories; Marine vehicles; Propulsion; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
0-7803-2685-7
Type
conf
DOI
10.1109/CDC.1995.478679
Filename
478679
Link To Document