Fortell venner om denne varen:
Nonlinear state and parameter estimation of spatially distributed systems Felix Sawo
Pris
NOK 289
Bestillingsvarer
Forventes levert 9. - 17. sep
Få varsel om nye utgivelser fra Felix Sawo
Legg til iMusic ønskeliste
eller
Nonlinear state and parameter estimation of spatially distributed systems
Felix Sawo
In this thesis two probabilistic model-based estimators are introduced that allow the reconstruction and identification of space-time continuous physical systems. The Sliced Gaussian Mixture Filter (SGMF) exploits linear substructures in mixed linear/nonlinear systems, and thus is well-suited for identifying various model parameters. The Covariance Bounds Filter (CBF) allows the efficient estimation of widely distributed systems in a decentralized fashion.
show more
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 16. oktober 2014 |
| ISBN13 | 9783866443709 |
| Utgivere | Karlsruher Institut für Technologie |
| Antall sider | 176 |
| Mål | 148 × 210 × 10 mm · 264 g |
| Språk | Tysk |
