A new approach to system identification and parameter tuning with multiple model adaptive estimators
Multiple model adaptive estimators have been used as a standard technique in system identification and systems state estimation. In its classical application, this method picks up the most probable model from a fixed set of pre-established models. This paper presents a new method, relying on multipl...
| Autor principal: | |
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| Outros Autores: | , |
| Formato: | conferenceObject |
| Idioma: | eng |
| Publicado em: |
2013
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| Assuntos: | |
| Texto completo: | http://hdl.handle.net/20.500.12207/645 |
| País: | Portugal |
| Oai: | oai:repositorio.ipbeja.pt:20.500.12207/645 |