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                                       Details for article 9 of 19 found articles
 
 
  Kalman filtering with unknown inputs via optimal state estimation of singular systems
 
 
Title: Kalman filtering with unknown inputs via optimal state estimation of singular systems
Author: Darouach, M.
Zasadzinski, M.
Onana, A. Bassong
Nowakowski, S.
Appeared in: International journal of systems science
Paging: Volume 26 (1995) nr. 10 pages 2015-2028
Year: 1995-10-01
Contents: A new method to design a Kalman filter for linear discrete-time systems with unknown inputs is presented. The algorithm recently developed for stochastic singular systems is applied to obtain a linear estimation of the state and unknown inputs. The necessary and sufficient conditions for the existence and stability of the filter are derived and proved. An illustrative example is included.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 9 of 19 found articles
 
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