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
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;
Conference_Titel :
Decision and Control, 1995., Proceedings of the 34th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-2685-7
DOI :
10.1109/CDC.1995.478679
