Parametric models of linear systems operating in closed-loop can be consistently identixed from time-domain noisy input}output measurements using cumulant spectra without requiring parametric modeling of noise. Two algorithms are proposed and their asymptotic performance is analyzed.
β¦ LIBER β¦
Identification of multivariable stochastic linear systems via spectral analysis given time-domain data
β Scribed by Tugnait, J.K.
- Book ID
- 119790886
- Publisher
- IEEE
- Year
- 1998
- Tongue
- English
- Weight
- 345 KB
- Volume
- 46
- Category
- Article
- ISSN
- 1053-587X
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
On closed-loop system identification usi
β
Jitendra K. Tugnait; Yi Zhou
π
Article
π
2000
π
Elsevier Science
π
English
β 223 KB
Laguerre domain identification of contin
β
Egi Hidayat; Alexander Medvedev
π
Article
π
2012
π
Elsevier Science
π
English
β 351 KB
Time-domain Analysis of Non-linear Hybri
β
WILLIAMSON, D.
π
Article
π
1965
π
Taylor and Francis Group
π
English
β 282 KB
[Advances in Industrial Control] Identif
β
Garnier, Hugues; Wang, Liuping
π
Article
π
2008
π
Springer London
β 940 KB
Approximate, time domain, non-stationary
β
R.F. Harrison; J.K. Hammond
π
Article
π
1986
π
Elsevier Science
π
English
β 828 KB
[Lecture Notes in Control and Informatio
β
Bensoussan, A.; Lions, J. L.
π
Article
π
1988
π
Springer-Verlag
π
German
β 492 KB
**From the foreword:** "This volume contains most of the 113 papers presented during the Eighth International Conference on Analysis and Optimization of Systems organized by the Institut National de Recherche en Informatique et en Automatique. Papers were presented by speakers coming from 21 differe