๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

A filter technique for parameter identification

โœ Scribed by H.I. Weber; W.O. Schiehlen

Publisher
Elsevier Science
Year
1983
Tongue
English
Weight
274 KB
Volume
10
Category
Article
ISSN
0093-6413

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Parameter identification technique for m
Parameter identification technique for multivariate stochastic systems
โœ Hajime Akashi; Hiroyuki Imai; Kamal A.F. Moustafa ๐Ÿ“‚ Article ๐Ÿ“… 1979 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 388 KB

This paper considers the problem of obtaining accurate estimates of multivariate systems with reasonable computations. To avoid the structural identification problem which is associated with multivariate systems, we observe the system by a linear combination of the outputs. The two stage least squar

INDIRECT INPUT IDENTIFICATION BY MODAL F
INDIRECT INPUT IDENTIFICATION BY MODAL FILTER TECHNIQUE
โœ YEONG-RYEOL KIM; KWANG-JOON KIM ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 236 KB

This paper is a study on modal model method in estimating system inputs from vibration responses, which is one of the indirect input identi"cation methods in frequency domain. The method has advantages over the direct inverse method especially when points of operational inputs are inaccessible for a

A Kalman filter type of extension to a d
A Kalman filter type of extension to a deterministic gradient technique for parameter estimation
โœ M.W.A. Smith; A.P. Roberts ๐Ÿ“‚ Article ๐Ÿ“… 1978 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 838 KB

It is shown that a method for the identification of deterministic systems derived from the Kalman filter is related to a gradient technique of parameter estimation and that the range of problems to which the gradient method may be applied is thereby extended. Various versions of the discrete-time al