We present a method to analyze dynamical systems undergoing random perturbations based on the cell mapping approach. Analytical expressions are derived for the transition probabilities from the evolution operator of the system. Thus there is no need for simulation of randomness and the numerical app
β¦ LIBER β¦
Convergence of Nonlinear Filters for Randomly Perturbed Dynamical Systems
β Scribed by Vladimir M. Lucic; Andrew J. Heunis
- Publisher
- Springer
- Year
- 2003
- Tongue
- English
- Weight
- 507 KB
- Volume
- 48
- Category
- Article
- ISSN
- 0095-4616
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Generalized Cell Mapping for Randomly Pe
β
J. Fischer; E. Kreuzer
π
Article
π
2001
π
John Wiley and Sons
π
English
β 162 KB
Convergence of singularly perturbed nonl
β
M. Tsutsumi
π
Article
π
1995
π
Elsevier Science
π
English
β 284 KB
On the dynamics of randomly excited nonl
β
Giampiero Benevolo; Renato C. Michelini
π
Article
π
1972
π
Springer Netherlands
π
English
β 658 KB
Stability and implementable ββfilters fo
β
Magdi S. Mahmoud; Naif B. Almutairi
π
Article
π
2008
π
Springer Netherlands
π
English
β 380 KB
Asymptotic behavior of the first exit ti
β
Toshio Mikami
π
Article
π
1997
π
Elsevier Science
π
English
β 554 KB
Perturbation methods for nonlinear auton
β
Angelo Luongo
π
Article
π
1996
π
Springer Netherlands
π
English
β 893 KB
Two perturbation methods for nonlinear autonomous discrete-time dynamical systems are presented. They generalize the classical Lindstedt-Poincar6 and multiple scale perturbation methods that are valid for continuous-time systems. The Lindstedt-Poincar6 method allows determination of the periodic or