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Książka Bayesian Real-Time System Identification Ke Huang

Bayesian Real-Time System Identification

From Centralized to Distributed Approach

Autor: Ke Huang, Ka-Veng Yuen
Język: Angielski
Oprawa: Twarda
Wydawca: Springer, Berlin
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
718.97 zł
This book introduces some recent developments in Bayesian real-time system identification. It contai...

Informacje o książce

Autor
Ke Huang, Ka-Veng Yuen
Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2023
strony
290
EAN
9789819905928
Enbook ID
42852618
Wydawca
Springer, Berlin
Waga
634
Wymiary
155 x 235

Pełny opis

This book introduces some recent developments in Bayesian real-time system identification. It contains two different perspectives on data processing for system identification, namely centralized and distributed. A centralized Bayesian identification framework is presented to address challenging problems of real-time parameter estimation, which covers outlier detection, system, and noise parameters tracking. Besides, real-time Bayesian model class selection is introduced to tackle model misspecification problem. On the other hand, a distributed Bayesian identification framework is presented to handle asynchronous data and multiple outlier corrupted data. This book provides sufficient background to follow Bayesian methods for solving real-time system identification problems in civil and other engineering disciplines. The illustrative examples allow the readers to quickly understand the algorithms and associated applications. This book is intended for graduate students and researchers in civil and mechanical engineering. Practitioners can also find useful reference guide for solving engineering problems.

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