DocumentCode :
2581892
Title :
Geometric methods for unknown-state, unknown-input reconstruction in discrete-time nonminimum-phase systems with feedthrough terms
Author :
Marro, G. ; Bernstein, D.S. ; Zattoni, E.
Author_Institution :
Dept. of Electron., Comput. Sci., & Syst., Univ. of Bologna, Bologna, Italy
fYear :
2010
fDate :
15-17 Dec. 2010
Firstpage :
6022
Lastpage :
6027
Abstract :
Unknown-state, unknown-input reconstruction in systems with invariant zeros is intrinsically limited by the fact that, for any invariant zero, at least one initial state exists, s.t. when the mode of the invariant zero is suitably injected into the system, the output remains identically equal to zero. Nonetheless, the problem has recently attracted considerable interest, mainly due to its connections with fault diagnosis and fault tolerant issues. This paper discusses the synthesis of a system capable of reconstructing the generic initial state and the generic bounded input in discrete-time nonminimum-phase linear systems with feedthrough terms. The procedure described is developed within the geometric approach.
Keywords :
control system synthesis; discrete time systems; fault tolerance; linear systems; discrete-time nonminimum-phase linear systems; fault diagnosis; fault tolerant; feedthrough terms; generic initial state reconstruction; geometric methods; invariant zeros; system synthesis; unknown-input reconstruction; unknown-state reconstruction; Context; Delay; Eigenvalues and eigenfunctions; Feedforward neural networks; Finite impulse response filter; Image reconstruction; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2010 49th IEEE Conference on
Conference_Location :
Atlanta, GA
ISSN :
0743-1546
Print_ISBN :
978-1-4244-7745-6
Type :
conf
DOI :
10.1109/CDC.2010.5718013
Filename :
5718013
Link To Document :
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