Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen:
http://bibdigital.epn.edu.ec/handle/15000/9309
Titel: | Module-oriented automatic differentiation in nonlinear control |
Autor(en): | Li, Jin Tan, Yuejin Liao, Liangcai |
Stichwörter: | SISTEMAS DE CONTROL NO LINEAL |
Erscheinungsdatum: | 12-Mär-2007 |
Zusammenfassung: | In this paper, a module-oriented automatic differentiation (MAD) approach is presented based on traditional automatic differentiation algorithms. This approach can well exploit the sparsity of the model by partitioning it into a series of sequential modules and choosing the best differentiation algorithm for each module accordingly. Numerical results show that for nonlinear system, module-oriented automatic differentiation can calculate the Lie derivatives and Jacobians efficiently. |
URI: | http://bibdigital.epn.edu.ec/handle/15000/9309 |
Art: | Article |
Enthalten in den Sammlungen: | 2005 International Conference on Industrial Electronics and Control Applications (FIEE) |
Dateien zu dieser Ressource:
Datei | Beschreibung | Größe | Format | |
---|---|---|---|---|
P0114.pdf | 368,47 kB | Adobe PDF | Öffnen/Anzeigen |
Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.