£83.60

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£84 today · all-time low £83 (Jul 2026) · usually the usual

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

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£84.45 £82.72 £83.10 £83.48 £83.85 £84.23 £84.61 25 July 2026 08 August 2026 22 August 2026 05 September 2026 19 September 2026
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Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
21 March 2023
Listed Since
19 January 2023

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