Title :
Partial state estimation in the presence of unknown inputs
Author :
Youssouf, Abdelillah ; Kinnaert, Michel
Author_Institution :
Lab. d´Autom., Univ. libre de Bruxelles, Brussels, Belgium
Abstract :
We consider the class of linear systems with unknown inputs, and we present an algorithm to determine the part of the state which can be estimated for such systems. This amounts to the determination of the detectable subsystem of maximum order which is free from any unknown input. The procedure to get this subsystem is iterative, and the link between the number of iterations and the interactor matrix of the transfer matrix from unknown inputs to measured outputs is pointed out. The iterative method comes out naturally by relaxing the conditions for the existence of an unknown input observer.
Keywords :
iterative methods; linear systems; matrix algebra; observers; detectable subsystem; interactor matrix; iterative method; linear systems; partial state estimation; transfer matrix; unknown input observer; Generators; Iterative methods; Linear systems; Matrix decomposition; Observers; Polynomials; Transfer functions; Estimation; Linear systems; Observers;
Conference_Titel :
Control Conference (ECC), 1997 European
Conference_Location :
Brussels
Print_ISBN :
978-3-9524269-0-6