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                                       Details for article 5 of 11 found articles
 
 
  Identification of a class of time-variable linear systems via its output covariance function
 
 
Title: Identification of a class of time-variable linear systems via its output covariance function
Author: Rootenberg, Jacob
Ghozati, Seyed Ali
Appeared in: International journal of systems science
Paging: Volume 9 (1998) nr. 3 pages 259-264
Year: 1998-03-01
Contents: The main concern of this paper is to determine the state-space representation of a class of linear time-variable, periodic system, such that when excited by stationary white noise it results in a random process with prescribed covariance function. It is shown that by using a proper transformation on the state covariance matrix of the system it is possible to find a new matrix which has periodicity properties and satisfies a periodic matrix Riceati differential equation; therefore, the time interval of interest, on which the matrix Riceati equation must be solved using previous approaches, will collapse into one period.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 5 of 11 found articles
 
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