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Kniha Bayesian Real-Time System Identification Ke Huang

Bayesian Real-Time System Identification

From Centralized to Distributed Approach

Autor: Ke Huang, Ka-Veng Yuen
Jazyk: Angličtina
Väzba: Pevná
Vydavateľ: Springer, Berlin
Dostupnosť: Skladom u dodávateľa
Odosielame za 10-13 dní
169.85 €
This book introduces some recent developments in Bayesian real-time system identification. It contai...

Informácie o knihe

Autor
Ke Huang, Ka-Veng Yuen
Jazyk
Angličtina
Väzba
Kniha - Pevná
Vydalo
2023
Stránok
290
EAN
9789819905928
Enbook ID
42852618
Vydavateľ
Springer, Berlin
Hmotnosť
634
Rozmery
155 x 235

Kompletný popis

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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