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  On stochastic system identification through Liapunov functions
 
 
Title: On stochastic system identification through Liapunov functions
Author: Akashi, Hajime
Moustafa, Kamal A.
Nose, Kazuo
Appeared in: International journal of control
Paging: Volume 26 (1977) nr. 4 pages 573-582
Year: 1977-10-01
Contents: The new approach of system identification through Liapunov functions is applied to stochastic systems. We demonstrate the possibility of constructing a consistent identification scheme to estimate the system parameters in the presence of noise, providing that the input is persistently exciting. A practical identification scheme is provided to obtain estimates with bounded estimation errors, where the bound can be made arbitrarily small.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 10 of 14 found articles
 
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