PDF-Bounded Error Identification of TimeVarying Parameters by RLS Techniques Sergio Bittanti and Marco Campi AbsbaetThe performance of the Recursive Least Squares algorithm with constant forgetting fact
It is shown that the mean square tracking error keeps bounded if and only if the socalled covariance matrix of the algorithm is L1hounded Then a feasibfity range
Download Presentation
"Bounded Error Identification of TimeVarying Parameters by RL…" is the property of its rightful owner. Permission is granted to download and print materials on this website for personal, non-commercial use only, provided you retain all copyright notices. By downloading content from our website, you accept the terms of this agreement.
Presentation Transcript
Transcript not available.