𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Closed-loop identification: the role of the noise model and prefilters

✍ Scribed by J.F. MacGregor; D.T. Fogal

Publisher
Elsevier Science
Year
1995
Tongue
English
Weight
785 KB
Volume
5
Category
Article
ISSN
0959-1524

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Comparison of the closed-loop identifica
Comparison of the closed-loop identification methods in terms of the bias distribution
✍ Alireza Karimi; Ioan DorΓ© Landau πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 126 KB

Several schemes for plant model identiΓΏcation in closed-loop operation including classical direct method, two-step identiΓΏcation and closed-loop output error algorithms are considered. These methods are analyzed and compared in terms of the bias distribution of the estimates for the case that the no

A Parametrization for the closed-loop id
A Parametrization for the closed-loop identification of nonlinear time-varying systems
✍ Soura Dasgupta; Brian D.O. Anderson πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 993 KB

## We convert the closed-loop identification of nonlinear time-varying plants, with high signal-to-noise ratio, to an open-loop identification problem of an associated Youla-Kucera parameter. The plant must be stabilizable by a known linear, possibly time-varying controller.

Recursive system identification in the p
Recursive system identification in the presence of noise and model uncertainties
✍ Er-Wei Bai; Roberto Tempo; Krishan Nagpal πŸ“‚ Article πŸ“… 1997 πŸ› Elsevier Science 🌐 English βš– 402 KB

The main contribution of this paper is a recursive algorithm for parametric system identification in the presence of both noise and model uncertainties. The estimates provided by this algorithm are not invalidated, after a learning period, by the observed input-output data and the assumed system and