Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment
暫譯: 在受限網路環境下的多感測器過濾融合與審查數據

Geng, Hang, Wang, Zidong, Cheng, Yuhua

Multi-Sensor Filtering Fusion with Censored Data Under a Constrained Network Environment
  • 出版商: CRC
  • 出版日期: 2026-07-20
  • 售價: $2,620
  • 貴賓價: 9.5 折 $2,489
  • 語言: 英文
  • 頁數: 238
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032610255
  • ISBN-13: 9781032610252
  • 相關分類: 感測器 Sensor

    • 尚未上市，無法訂購

商品描述

This book presents the up-to-date research developments and novel methodologies on multi-sensor filtering fusion (MSFF) for a class of complex systems subject to censored data under a constrained network environment. The contents of this book are divided into two parts covering centralized and distributed MSFF design methodologies. The work provides a framework of optimal centralized/distributed filter design and stability and performance analysis for the considered systems along with designed filters. Simulations presented in this book are implemented using MATLAB.

Features:

  • Includes concepts, backgrounds and models on censored data, filtering fusion and communication constraints.
  • Reviews case studies to provide clear engineering insights into the developed fusion theories and techniques.
  • Provides theoretic values and engineering insights of the censored data and constrained network.
  • Discusses performance evaluation of the presented multi-sensor fusion algorithms.
  • Explores promising research directions on future multi-sensor fusion.

This book is aimed at graduate students and researchers in networked control, sensor networks, and data fusion.

商品描述(中文翻譯)

本書介紹了多感測器過濾融合（MSFF）在受限網路環境下對於一類複雜系統的最新研究發展和新穎方法論，特別針對被審查數據的情況。內容分為兩個部分，涵蓋集中式和分散式的 MSFF 設計方法論。本書提供了最佳集中式/分散式過濾器設計的框架，以及針對所考慮系統的穩定性和性能分析，並附上設計的過濾器。本書中呈現的模擬是使用 MATLAB 實現的。

特色：
- 包含有關被審查數據、過濾融合和通信限制的概念、背景和模型。
- 回顧案例研究，以提供對所開發的融合理論和技術的清晰工程見解。
- 提供被審查數據和受限網路的理論價值和工程見解。
- 討論所呈現的多感測器融合演算法的性能評估。
- 探索未來多感測器融合的有前景的研究方向。

本書旨在為網路控制、感測器網路和數據融合的研究生和研究人員提供參考。

作者簡介

Hang Geng received the B.Sc. degree in electronic information engineering in 2011 from Civil Aviation Flight University of China, the M.Sc. degree in electrical engineering and the Ph.D. degree in control science and engineering in 2014 and 2017, respectively, from Northwestern Polytechnical University. He is currently an Associate Professor at the School of Automation Engineering, University of Electronic Science and Technology of China. He was a visiting Ph.D. candidate (2015-2016) and a Research Fellow (2019-2022) with the Department of Computer Science, Brunel University London, UK. From 2018 to 2019, he was a Post- Doctoral Fellow with the Department of Mechanical Engineering, University of Kansas, USA. His research interests include information fusion, fault diagnosis, and state estimation. Dr. Geng is currently serving an Associate Editor for CMES-Computer Modeling in Engineering & Science, a member of IEEE, a Senior Member of China Instrument and Control Society, a Member of Chinese Association of Automation, and a very active reviewer for many international journals.

Zidong Wang is Professor of Dynamical Systems and Computing at Brunel University London, West London, United Kingdom. He was born in 1966 in Yangzhou, Jiangsu, China. He received the BSc degree in Mathematics in 1986 from Suzhou University, Suzhou, the MSc degree in Applied Mathematics in 1990 and the PhD degree in Electrical and Computer Engineering in 1994, both from Nanjing University of Science and Technology, Nanjing. Professor Wang's research interests include dynamical systems, signal processing, bioinformatics, control theory and applications. He has published more than 600 papers in refereed international journals. He was awarded the Humboldt research fellowship in 1996 from Alexander von Humboldt Foundation, the JSPS Research Fellowship in 1998 from Japan Society for the Promotion of Science, and the William Mong Visiting Research Fellowship in 2002 from the University of Hong Kong. He was a recipient of the State Natural Science Award from the State Council of China in 2014 and the Outstanding Science and Technology Development Awards (once in 2005 and twice in 1997) from the National Education Committee of China.

Yuhua Chen received the Ph.D. degree in instrumentation science and technology in 2007 from Sichuan University. He is currently a Professor of instrument science and technology at the School of Automation Engineering, University of Electronic Science and Technology of China. From 2013 to 2014, he was a Guest Researcher at the University of Toronto, Canada. His research interests include electronic instrumentation, imaging/sensing for nondestructive evaluation, intelligent prognostics and health management of complex systems, and numerical modeling and simulation. Professor Cheng is currently serving as an Associate Editor for Neurocomputing and IEEE Transactions on Instrumentation and Measurement, and a very active reviewer for many international journals.

作者簡介(中文翻譯)

耿航於2011年獲得中國民航飛行學院電子信息工程學士學位，並於2014年和2017年分別獲得西北工業大學電氣工程碩士學位及控制科學與工程博士學位。他目前是中國電子科技大學自動化工程學院的副教授。他曾於2015至2016年擔任英國倫敦布魯內爾大學計算機科學系的訪問博士生，並於2019至2022年擔任該系的研究員。2018至2019年，他在美國堪薩斯大學機械工程系擔任博士後研究員。他的研究興趣包括信息融合、故障診斷和狀態估計。耿博士目前擔任《CMES-計算機建模與工程科學》的副編輯，是IEEE會員，中國儀器與控制學會的資深會員，中國自動化學會的會員，並且是多本國際期刊的活躍審稿人。

王子東是英國倫敦布魯內爾大學動態系統與計算教授。他於1966年出生於中國江蘇省揚州市。1986年，他在蘇州大學獲得數學學士學位，1990年獲得南京科技大學應用數學碩士學位，1994年獲得該校電氣與計算機工程博士學位。王教授的研究興趣包括動態系統、信號處理、生物信息學、控制理論及其應用。他在國際期刊上發表了超過600篇論文。他於1996年獲得亞歷山大·馮·洪堡基金會的洪堡研究獎學金，1998年獲得日本學術振興會的JSPS研究獎學金，2002年獲得香港大學的William Mong訪問研究獎學金。他於2014年獲得中國國務院的國家自然科學獎，並於1997年和2005年獲得中國國家教育委員會的優秀科技發展獎（1997年兩次，2005年一次）。

陳宇華於2007年獲得四川大學儀器科學與技術博士學位。他目前是中國電子科技大學自動化工程學院的儀器科學與技術教授。2013至2014年，他曾在加拿大多倫多大學擔任客座研究員。他的研究興趣包括電子儀器、非破壞性評估的成像/感測、複雜系統的智能預測與健康管理，以及數值建模與模擬。陳教授目前擔任《神經計算》和《IEEE儀器與測量學報》的副編輯，並且是多本國際期刊的活躍審稿人。

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