Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
This paper studies the convergence of the least-squares identification algorithm with a variable forgetting factor. The evolution of the parameter estimator with respect to initial conditions, actual parameter changes and stochastic perturbations is analysed. Bounds on the deterministic and stochast...
Guardat en:
| Autor principal: | |
|---|---|
| Altres autors: | |
| Format: | article |
| Idioma: | anglès |
| Publicat: |
1987
|
| Matèries: | |
| Accés en línia: | https://hdl.handle.net/20.500.12008/20869 |
| Etiquetes: |
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|
Ítems similars: Convergence analysis of the least squares identification algorithm with variable forgetting factor for time varying linear systems
- Variable forgetting factor least squares identification algorithm : a convergence analysis
- Acute squares of colonic diverticular origin
- On output static feedback in linear time-invariant finite-dimensional systems
- Lithiasis of upper biliary convergence
- University open spaces: Itineraries, squares and microspaces as project guidelines for informal learning
- Writings to think the public-political in times of algorithms and connective platforms