Yüklüyor…
Hybrid System Identification Theory and Algorithms for Learning Switching Models /
Hybrid System Identification helps readers to build mathematical models of dynamical systems switching between different operating modes, from their experimental observations. It provides an overview of the interaction between system identification, machine learning and pattern recognition fields in...
Asıl Yazarlar: | Lauer, Fabien (Yazar), Bloch, Gérard (Yazar) |
---|---|
Müşterek Yazar: | SpringerLink (Online service) |
Materyal Türü: | e-Kitap |
Dil: | İngilizce |
Baskı/Yayın Bilgisi: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
|
Edisyon: | 1st ed. 2019. |
Seri Bilgileri: | Lecture Notes in Control and Information Sciences,
478 |
Konular: | |
Online Erişim: | Full-text access OPAC'ta görüntüle |
Benzer Materyaller
-
Systems Engineering in Context Proceedings of the 16th Annual Conference on Systems Engineering Research /
Baskı/Yayın Bilgisi: (2019) -
Filtering and Control of Stochastic Jump Hybrid Systems
Yazar:: Yao, Xiuming, ve diğerleri
Baskı/Yayın Bilgisi: (2016) -
Errors-in-Variables Methods in System Identification
Yazar:: Söderström, Torsten
Baskı/Yayın Bilgisi: (2018) -
Positive Systems Theory and Applications (POSTA 2018) /
Baskı/Yayın Bilgisi: (2019) -
Fuzzy System Identification and Adaptive Control
Yazar:: Qi, Ruiyun, ve diğerleri
Baskı/Yayın Bilgisi: (2019)