Methods for using fourth order spectral quantities to estimate the unknown parameters in non-linear, randomly excited dynamic systems are developed. Attention is focused on the case where only the response is measurable and the excitation is unmeasurable and known only in terms of a stochastic proce
β¦ LIBER β¦
Numerical differentiation and parameter estimation in higher-order linear stochastic systems
β Scribed by T. Duncan; P. Mandl; B. Pasik-duncan
- Book ID
- 126660577
- Publisher
- IEEE
- Year
- 1996
- Tongue
- English
- Weight
- 885 KB
- Volume
- 41
- Category
- Article
- ISSN
- 0018-9286
- DOI
- 10.1109/9.489273
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
STOCHASTIC PARAMETER ESTIMATION OF NON-L
β
M. Vasta; J.B. Roberts
π
Article
π
1998
π
Elsevier Science
π
English
β 361 KB
Program to estimate parameters of linear
β
B. KanyΓ‘r; J. ErΓΆdi
π
Article
π
1978
π
Elsevier Science
β 330 KB
This paper describes a computer program for estimating the parameters of a linear differential equation systen with constant coefficients by use of a nonlinear least-squares method. For minimization the sum of squares of an existing standard program, the Gauss-Newton gradient procedure, is employed.
Parameter estimation of stochastic linea
β
Zheng, Wei Xing
π
Article
π
2004
π
Taylor and Francis Group
π
English
β 142 KB
ESTIMATION OF NON-LINEAR SYSTEM PARAMETE
β
G.-M. Lee
π
Article
π
1997
π
Elsevier Science
π
English
β 305 KB
Parameter and differentiation order esti
β
Victor, StΓ©phane; Malti, Rachid; Garnier, Hugues; Oustaloup, Alain
π
Article
π
2013
π
Elsevier Science
π
English
β 876 KB
Minimal Order Estimation of Multivariabl
β
Baram, Yoram; Shaked, Uri
π
Article
π
1986
π
Society for Industrial and Applied Mathematics
π
English
β 410 KB