Bayesian Real-Time System Identification: From Centralized to Distributed Approach

Huang, Ke, Yuen, Ka-Veng

  • 出版商: Springer
  • 出版日期: 2024-03-22
  • 售價: $6,380
  • 貴賓價: 9.5$6,061
  • 語言: 英文
  • 頁數: 276
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819905958
  • ISBN-13: 9789819905959
  • 相關分類: 機率統計學 Probability-and-statistics
  • 海外代購書籍(需單獨結帳)

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商品描述

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 researchersin civil and mechanical engineering. Practitioners can also find useful reference guide for solving engineering problems.

商品描述(中文翻譯)

本書介紹了貝葉斯即時系統識別的一些最新發展。它包含了系統識別數據處理的兩種不同視角,即集中式和分散式。書中提出了一個集中式的貝葉斯識別框架,以解決即時參數估計的挑戰性問題,涵蓋了異常值檢測、系統和噪聲參數追蹤。此外,還介紹了即時貝葉斯模型類別選擇,以應對模型錯誤指定的問題。另一方面,書中提出了一個分散式的貝葉斯識別框架,以處理非同步數據和多個異常值污染的數據。本書提供了足夠的背景知識,以便讀者能夠理解貝葉斯方法在土木工程及其他工程學科中解決即時系統識別問題的應用。舉例說明使讀者能夠快速理解算法及其相關應用。本書適合土木工程和機械工程的研究生及研究人員,實務工作者也能找到解決工程問題的有用參考指南。

作者簡介

Ke Huang received her Ph.D. in civil engineering from the University of Macau. She is currently Assistant Professor of the School of Civil Engineering at the Changsha University of Science and Technology. Her research expertise includes substructural identification, distributed identification, and online estimation.

Ka-Veng Yuen received his Ph.D. in civil engineering from the California Institute of Technology. He is Distinguished Professor of Civil and Environmental Engineering at the University of Macau. The research expertise of Prof. KV Yuen includes Bayesian inference, uncertainty quantification, system identification, structural health monitoring, reliability analysis, and analysis of dynamical systems. He is Single Author of the book "Bayesian Methods for Structural Dynamics and Civil Engineering" published by John Wiley and Sons. He is also Recipient of the Young Investigator Award of the International Chinese Association on Computational Mechanics in 2011. He is Editorial Board Member of Computer-Aided Civil and Infrastructure Engineering, Structural Control and Health Monitoring, and International Journal for Uncertainty Quantification, etc.


作者簡介(中文翻譯)

Ke Huang 於澳門大學獲得土木工程博士學位。她目前是長沙理工大學土木工程學院的助理教授。她的研究專長包括子結構識別、分佈式識別和在線估計。

Ka-Veng Yuen 於加州理工學院獲得土木工程博士學位。他是澳門大學土木與環境工程的特聘教授。KV Yuen 教授的研究專長包括貝葉斯推斷、不確定性量化、系統識別、結構健康監測、可靠性分析以及動態系統分析。他是由 John Wiley and Sons 出版的《Bayesian Methods for Structural Dynamics and Civil Engineering》一書的單一作者。他還於2011年獲得國際華人計算力學協會的青年研究者獎。他是《Computer-Aided Civil and Infrastructure Engineering》、《Structural Control and Health Monitoring》及《International Journal for Uncertainty Quantification》等期刊的編輯委員會成員。