Smarter Cyber Physical Systems: Enabling Methodologies and Applications
暫譯: 智慧型網路物理系統：啟用方法論與應用

Wan, Yan, Vamvoudakis, Kyriakos, Chen, Yangquan

Smarter Cyber Physical Systems: Enabling Methodologies and Applications
  • 出版商: CRC
  • 出版日期: 2025-08-04
  • 售價: $7,100
  • 貴賓價: 9.5 折 $6,745
  • 語言: 英文
  • 頁數: 620
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032153482
  • ISBN-13: 9781032153483
  • 相關分類: 物聯網 IoT、Machine Learning

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Cyber-Physical Systems (CPS) is featured by the tight integration of cyberand physical components. CPS has made major advances with a broad
societal impact. Now in the era of Industry Revolution 4.0, CPS is
considered as an enabling technology. Combined with autonomy, big
data, machine learning and internet of things, CPS empowers systems
with greater intelligence to address uncertainties, unknowns, attacks,
and unexpected events.

This book highlights the latest advances and explores the new trends in
the design and implementation of smarter Cyber-Physical systems
(CPS). It introduces integrated model-based and data-driven solutions for
CPS that demonstrate features including both adaptability and
interpretability. Key topics covered include reinforcement learning, digital
twin and large-scale networks. The book then presents the latest codesign
techniques that address practical computation, networking,
control, and physical constraints. It examines important issues related to
human CPS, safety, resilience and privacy. The chapters feature the tight
integration of theory and practice, including problems motivated from
applications, fundamental research development that are generally
applicable, and implementation in real system applications. A wide range
of CPS applications are covered, including robotics, autonomous driving,
unmanned aerial vehicles and smart cities.

商品描述(中文翻譯)

網路物理系統（Cyber-Physical Systems, CPS）以網路（cyber）和物理（physical）元件的緊密整合為特徵。CPS 在社會上產生了重大影響，並取得了重要的進展。在工業革命 4.0 的時代，CPS 被視為一項關鍵技術。結合自主性、大數據、機器學習和物聯網，CPS 賦予系統更高的智能，以應對不確定性、未知數、攻擊和意外事件。

本書強調最新的進展，並探討設計和實施更智能的網路物理系統（CPS）中的新趨勢。它介紹了針對 CPS 的整合模型驅動和數據驅動解決方案，展示了適應性和可解釋性等特徵。涵蓋的關鍵主題包括強化學習、數位雙胞胎和大規模網絡。接著，本書介紹了最新的共同設計技術，解決實際計算、網絡、控制和物理約束等問題。它還探討了與人類 CPS、安全性、韌性和隱私相關的重要議題。各章節緊密結合理論與實踐，包括源自應用的問題、一般適用的基礎研究發展，以及在實際系統應用中的實施。書中涵蓋了廣泛的 CPS 應用，包括機器人、自動駕駛、無人機和智慧城市。

作者簡介

Yan Wan is a Distinguished University Professor in the Electrical Engineering Department at the University of Texas at Arlington (UTA). She is an Associate Fellow of AIAA and a Senior Member of IEEE.

Kyriakos G. Vamvoudakis currently serves as the Dutton-Ducoffe Endowed Professor at The Daniel Guggenheim School of Aerospace Engineering at Georgia Tech. He is also a registered Electrical/Computer engineer (PE), a member of the Technical Chamber of Greece, an Associate Fellow of AIAA, and a Senior Member of IEEE.

Yangquan Chen had been a faculty of the School of Engineering, University of California, Merced (UCM) since 2012. He is listed in Highly Cited Researchers by Clarivate Analytics from 2018.

Frank L. Lewis is the Moncrief-O'Donnell Endowed Chair and a Professor of Electrical Engineering at The University of Texas at Arlington. He is a Fellow of National Academy of Inventors, a Life Fellow IEEE, Fellow IFAC, Fellow U.K. Inst. of Measurement and Control, Fellow AAAS.

作者簡介(中文翻譯)

顏琬是德克薩斯大學阿靈頓分校（UTA）電機工程系的特聘大學教授。她是美國航空航天學會（AIAA）的副會士及IEEE的資深會員。

Kyriakos G. Vamvoudakis目前擔任喬治亞理工學院（Georgia Tech）丹尼爾·古根海姆航空工程學院的Dutton-Ducoffe講座教授。他也是一名註冊的電機/計算機工程師（PE），希臘技術商會的成員，美國航空航天學會（AIAA）的副會士，以及IEEE的資深會員。

陳揚泉自2012年以來一直是加州大學默塞德分校（UCM）工程學院的教職員。他自2018年起被Clarivate Analytics列為高被引研究者。

Frank L. Lewis是德克薩斯大學阿靈頓分校的Moncrief-O'Donnell講座教授及電機工程教授。他是全國發明家學院的會士，IEEE的終身會士，IFAC的會士，英國測量與控制學會的會士，以及美國科學促進會（AAAS）的會士。

類似商品