| Residential College | false |
| Status | 已發表Published |
| Bayesian Real-Time System Identification: From Centralized to Distributed Approach | |
Huang, Ke1; Yuen, Ka Veng2
| |
| Subtype | 著Authored |
| 2023-03-21 | |
| Publisher | Springer |
| Publication Place | Singapore |
| Abstract | 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. |
| Keyword | Bayesian Inference Centralized Identification Distributed Identification Model Class Selection Parameter Estimation Real-time System Identification Structural Health Monitoring |
| Table of Contents |
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| ISBN | 978-981-99-0593-5 |
| DOI | 10.1007/978-981-99-0593-5 |
| URL | View the original |
| Pages | 276 |
| Language | 英語English |
| Scopus ID | 2-s2.0-85173343263 |
| Fulltext Access | |
| Citation statistics | |
| Document Type | Book |
| Collection | DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING Faculty of Science and Technology THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU) |
| Affiliation | 1.School of Civil Engineering, Changsha University of Science and Technology, China 2.State Key Laboratory of Internet of Things for Smart City and Department of Civil and Environmental Engineering, University of Macau, Taipa, China |
| Recommended Citation GB/T 7714 | Huang, Ke,Yuen, Ka Veng. Bayesian Real-Time System Identification: From Centralized to Distributed Approach[M]. Singapore:Springer, 2023, 276. |
| APA | Huang, Ke., & Yuen, Ka Veng (2023). Bayesian Real-Time System Identification: From Centralized to Distributed Approach. Springer. |
| Files in This Item: | There are no files associated with this item. | |||||
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