找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Bayesian Real-Time System Identification; From Centralized to Ke Huang,Ka-Veng Yuen Book 2023 The Editor(s) (if applicable) and The Author

[復制鏈接]
查看: 50216|回復: 39
樓主
發(fā)表于 2025-3-21 20:07:45 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Bayesian Real-Time System Identification
期刊簡稱From Centralized to
影響因子2023Ke Huang,Ka-Veng Yuen
視頻videohttp://file.papertrans.cn/182/181877/181877.mp4
發(fā)行地址Provides two different perspectives to data processing for system identification.Addresses the challenging problems in real-time system identification.Provides an easy way to help the readers better m
圖書封面Titlebook: Bayesian Real-Time System Identification; From Centralized to  Ke Huang,Ka-Veng Yuen Book 2023 The Editor(s) (if applicable) and The Author
影響因子.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..
Pindex Book 2023
The information of publication is updating

書目名稱Bayesian Real-Time System Identification影響因子(影響力)




書目名稱Bayesian Real-Time System Identification影響因子(影響力)學科排名




書目名稱Bayesian Real-Time System Identification網(wǎng)絡公開度




書目名稱Bayesian Real-Time System Identification網(wǎng)絡公開度學科排名




書目名稱Bayesian Real-Time System Identification被引頻次




書目名稱Bayesian Real-Time System Identification被引頻次學科排名




書目名稱Bayesian Real-Time System Identification年度引用




書目名稱Bayesian Real-Time System Identification年度引用學科排名




書目名稱Bayesian Real-Time System Identification讀者反饋




書目名稱Bayesian Real-Time System Identification讀者反饋學科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權限
沙發(fā)
發(fā)表于 2025-3-21 23:18:24 | 只看該作者
tification.Provides an easy way to help the readers better m.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 iden
板凳
發(fā)表于 2025-3-22 02:08:07 | 只看該作者
Book 2023gorithms 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..
地板
發(fā)表于 2025-3-22 07:50:53 | 只看該作者
5#
發(fā)表于 2025-3-22 10:16:01 | 只看該作者
https://doi.org/10.1007/978-3-319-18063-2d the procedures of the EKF algorithm are formulated in the same manner as the standard KF algorithm. The EKF with fading memory is introduced to enhance the tracking capability for time-varying systems. Applications to simultaneous states and model parameters estimation are presented. The KF algori
6#
發(fā)表于 2025-3-22 14:29:15 | 只看該作者
Human Green Development Report 2014t in the extended Kalman filter, the proposed method enhances the applicability of the real-time system identification algorithm for nonstationary circumstances generally encountered in practice. Examples using stationary/nonstationary response of linear/nonlinear time-varying dynamical systems are
7#
發(fā)表于 2025-3-22 17:37:56 | 只看該作者
Human Green Development Report 2014emove the outliers in the measurements and identify the time-varying systems simultaneously. By excluding the outliers in the measurements, the proposed algorithm ensures the stability and reliability of the estimation. Examples are presented to illustrate the practical aspects of detecting outliers
8#
發(fā)表于 2025-3-23 01:15:23 | 只看該作者
9#
發(fā)表于 2025-3-23 03:31:12 | 只看該作者
10#
發(fā)表于 2025-3-23 07:54:02 | 只看該作者
Theoretical Rationale Behind HGDItification results are not affected by asynchronism of different sensor nodes. The proposed approach utilizes directly asynchronous data for online system identification. Regarding the second issue of outlier contamination, a hierarchical outlier detection approach is introduced. It detects the loca
 關于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-11 19:29
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
延川县| 得荣县| 天津市| 江门市| 黄骅市| 五指山市| 永新县| 太仆寺旗| 太康县| 运城市| 安溪县| 睢宁县| 葫芦岛市| 武乡县| 宜兰县| 哈密市| 合山市| 建瓯市| 木里| 宁明县| 临洮县| 长汀县| 兴安县| 清徐县| 双牌县| 土默特左旗| 宾川县| 睢宁县| 黄浦区| 全南县| 社旗县| 林周县| 榆林市| 海晏县| 旬阳县| 轮台县| 土默特左旗| 松阳县| 福清市| 海阳市| 鄂州市|