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
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;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434852
