DocumentCode
765556
Title
Identification of multivariable linear systems from input/output measurements
Author
McElveen, J. Keith ; Lee, Koucherng Roger ; Bennett, John E.
Volume
39
Issue
3
fYear
1992
fDate
6/1/1992 12:00:00 AM
Firstpage
189
Lastpage
193
Abstract
A stochastic approximation technique for multi-input multi-output (MIMO) system identification is proposed where the technique is based on state space formalization of a system with known indices. The proposed method is applicable to digital computer implementation. Convergence of the technique is shown, and an example showing its effectiveness when compared with another approximation technique is presented
Keywords
linear systems; multivariable systems; parameter estimation; stochastic processes; MIMO system identification; convergence; digital computer implementation; input/output measurements; multivariable linear systems; state space formalization; stochastic approximation technique; Convergence; Covariance matrix; Equations; Linear systems; MIMO; Random variables; State-space methods; Stochastic resonance; Stochastic systems; System identification;
fLanguage
English
Journal_Title
Industrial Electronics, IEEE Transactions on
Publisher
ieee
ISSN
0278-0046
Type
jour
DOI
10.1109/41.141619
Filename
141619
Link To Document