DocumentCode
2829105
Title
A subspace algorithm for simultaneous identification and input reconstruction
Author
Palanthandalam-Madapusi, Harish J. ; Bernstein, Dennis S.
Author_Institution
Univ. of Michigan, Ann Arbor
fYear
2007
fDate
12-14 Dec. 2007
Firstpage
4956
Lastpage
4961
Abstract
In this paper, we introduced the concept of input and state observability, that is, conditions under which both the unknown input and state can be estimated from the output measurements. We discussed sufficient and necessary conditions for a discrete-time system to be input and state observable. Next, we developed a subspace identification algorithm that identified the state space matrices and reconstructed the unknown input using output measurements and known inputs.
Keywords
discrete time systems; matrix algebra; observability; state estimation; discrete-time system; input reconstruction; output measurements; state estimation; state observability; state space matrices; subspace identification algorithm; Control systems; Equations; Erbium; Instruments; Observability; State estimation; State-space methods; Sufficient conditions; USA Councils; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 2007 46th IEEE Conference on
Conference_Location
New Orleans, LA
ISSN
0191-2216
Print_ISBN
978-1-4244-1497-0
Electronic_ISBN
0191-2216
Type
conf
DOI
10.1109/CDC.2007.4434852
Filename
4434852
Link To Document