Constrained Control and Machine Learning: Emerging Methodologies and Applications
暫譯: 受限控制與機器學習：新興方法論與應用

Franzè, Giuseppe, Fortino, Giancarlo, Lucia, Walter

Constrained Control and Machine Learning: Emerging Methodologies and Applications
  • 出版商: Springer
  • 出版日期: 2026-04-06
  • 售價: $7,060
  • 貴賓價: 9.5 折 $6,707
  • 語言: 英文
  • 頁數: 312
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 303202708X
  • ISBN-13: 9783032027085
  • 相關分類: Machine Learning

    • 海外代購書籍(需單獨結帳)

商品描述

This book addresses the use of constrained control and machine learning approaches within data-driven settings in the field of autonomous robots for Industry 5.0 and Intelligent Transportation Systems. The primary aim of the book is to highlight the strict connection between constrained control and machine learning when tackling real-like phenomena in terms of a data-driven framework. The book shows how constrained control techniques and machine learning approaches can be adequately combined to derive novel and more efficient hybrid control architectures for data-driven based scenarios. To this end, several control problems ranging from planning and formation of autonomous multi-vehicles, routing decisions in urban road networks, freeway traffic modeling, to autonomous robotics in healthcare, are considered to highlight the capability of the data-driven approach to combine techniques coming from different research domains. The book is mainly devoted to researchers that, starting from a solid expertise on the constrained control and/or machine learning tools, would improve their ability to jointly use these technicalities in the data-driven setting.

    Addresses use of constrained control and machine learning within data-driven settings; Focuses on applications in autonomous robots for Industry 5.0 and intelligent transportation systems; Shows how combined constrained control and ML techniques can create efficient hybrid control architectures.

商品描述(中文翻譯)

本書探討在數據驅動環境中，約束控制和機器學習方法在自主機器人、工業5.0及智慧交通系統領域的應用。書籍的主要目的是強調在數據驅動框架下，約束控制與機器學習之間的緊密聯繫，特別是在處理類似現實的現象時。本書展示了如何將約束控制技術與機器學習方法有效結合，以推導出新穎且更高效的混合控制架構，適用於基於數據驅動的場景。為此，書中考慮了多個控制問題，從自主多車輛的規劃與編隊、城市道路網絡中的路由決策、高速公路交通建模，到醫療保健中的自主機器人，旨在突顯數據驅動方法結合來自不同研究領域技術的能力。本書主要針對那些擁有堅實的約束控制和/或機器學習工具專業知識的研究人員，幫助他們提升在數據驅動環境中共同使用這些技術的能力。

- 探討在數據驅動環境中約束控制和機器學習的應用；
- 專注於工業5.0和智慧交通系統中的自主機器人應用；
- 展示如何結合約束控制和機器學習技術來創建高效的混合控制架構。

作者簡介

Dr. Giuseppe Franzè is a Full Professor at the DIMEG department of the University of Calabria (Italy). Dr. Franze' received the Laurea degree in Computer Engineering in 1994 and the Ph.D. degree in Systems Engineering in 1999 from the University of Calabria, Italy. He authored or co-authored of more than 220 research papers in archival journals, book chapters and international conference proceedings. His current research interests include constrained predictive control, nonlinear systems, networked control systems, control under constraints and control reconfiguration for fault tolerant systems, resilient control for cyber-physical systems. In November-December 2019, he was a visiting professor at Concordia University (Canada) at the CIISE Department. Since 2019 he is Senior Member of IEEE. He is a co-recipient of the Best Paper Award at the IEEE-CoDIT 2019 Conference, Paris, France and at the IEEE-CoDIT 2024 Conference, Valetta, Malta. He currently serves as Associate Editor for IEEE/CAA Journal of Automatica Sinica (JAS), IEEE Transactions on Automation and Science Engineering and IEEE Transactions on Intelligent Vehicles. He is the Guest Editor of the Special Issue Resilient Control in LargeScale Networked Cyber-Physical Systems IEEE/CAA Journal of Automatica Sinica (JAS), 2020. From January 2018 to March 2022, he was the Graduate Program Director of the Master Degree in Automation Engineering at the DIMES department, University of Calabria. Since September 2022, he is a member of the IFAC Technical committee TC 6.4. Fault Detection, Supervision & Safety of Techn. Processes-SAFEPROCESS. Moreover, he is a member of the working group "Safety and Security of Cyberphysical Systems" of the IFAC Technical committee TC 6.4.

Dr. Giancarlo Fortino is a Full Professor of Computer Engineering at the Dept of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a PhD in Computer Engineering from Unical in 2000. He is also distinguished professor at Wuhan University of Technology and Huazhong Agricultural University (China), high-end expert at HUST, NIST, ECJTU, CUST (China), senior research fellow at the Italian ICAR-CNR Institute, CAS PIFI foreign scientist at SIAT - Shenzhen, and Distinguished Lecturer for IEEE Sensors Council, SMCS and IoT TC. He was also visiting researcher at ICSI, Berkeley (USA), in 1997 and 1999 and visiting professor at Queensland University of technology in 2009. At Unical, he is the Rector's delegate to Int'l relations, the chair of the PhD School in ICT, the director of the Postgraduate Master course in AI-driven Radiomics, and the director of the SPEME lab as well as co-chair of Joint labs on IoT established between Unical and WUT, SMU and HZAU Chinese universities, respectively. Fortino is currently the scientific responsible of the Digital Health group of the Italian CINI National Laboratory at Unical. He is Highly Cited Researcher 2020-2024 in Computer Science by Clarivate. He had 25+ highly cited papers in WoS, and h-index=86 with 30000+ citations in Google Scholar. His research interests include wearable computing systems, e-Health, Internet of Things, and agent-based computing. He is author of 750+ papers in int'l journals, conferences and books. He is (founding) series editor of IEEE Press Book Series on Human-Machine Systems and EiC of Springer Internet of Things series and AE of premier int'l journals such as IEEE TASE (senior editor), IEEE TAFFC-CS, IEEE THMS, IEEE T-AI, IEEE IoTJ, IEEE SJ, IEEE JBHI, IEEE SMCM, IEEE OJEMB, IEEE OJCS, Information Fusion, EAAI, etc. He chaired many int'l workshops and conferences (130+), was involved in a huge number of int'l conferences/workshops (700+) as IPC member, is/was guest-editor of many special issues (80+). He is cofounder and CEO of SenSysCal S.r.l., a Unical spinoff focused on innovative IoT systems, and recently cofounder and vice-CEO of the spin-off Bigtech S.r.l, focused on big data, AI and IoT technologies. Fortino is currently AVP of the Cybernetics area of the IEEE SMCS and former member of the IEEE SMCS BoG and former chair of the IEEE SMCS Italian Chapter.

Dr. Walter Lucia is an Associate Professor at the Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Canada. He received the M.Sc. degree in automation engineering (2011) and the Ph.D. degree in Systems and Computer Engineering (2015) from the University of Calabria, Italy. In 2013, he was a visiting research scholar in the ECE Department at Northeastern University (USA), and in 2015, a visiting postdoctoral researcher in the ECE Department at Carnegie Mellon University (USA). In 2016, Dr. Lucia joined Concordia University as a tenure-track Assistant Professor, where, in 2021, he was promoted to the rank of Associate Professor with tenure. Dr. Lucia current research interests include control of unmanned vehicles, predictive control, fault-tolerant control, and secure and resilient control of cyber-physical systems. Dr. Lucia is currently an Associate Editor for IEEE Control Systems Letters, Control System Society - Conference Editorial Board and IEEE Systems Journal. Moreover, he serves as the Chair of the IEEE Montreal Chapters of Systems, Man and Cybernetics, and IEEE Control Systems.

MengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology, Nanjing, China in 1983, M.S. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1986, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, NY in 1990. He joined the Department of Electrical and Computer Engineering, New Jersey Institute of Technology in 1990, and is now a Distinguished Professor. His interests are in intelligent automation/transportation, robotics, Petri nets, Internet of Things, edge/cloud computing, and big data analytics. He has over 1300 publications including 17 books, over 900 journal papers including over 700 IEEE Transactions papers, 31 patents and 32 book-chapters. He is a recipient of Excellence in Research Prize and Medal from NJIT, Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation, and Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems, Man, and Cybernetics Society, and Edison Patent Award from the Research & Development Council of New Jersey. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is Fellow of IEEE, International Federation of Automatic Control (IFAC), American Association for the Advancement of Science (AAAS), Chinese Association of Automation (CAA) and National Academy of Inventors (NAI).

作者簡介(中文翻譯)

Dr. Giuseppe Franzè 是義大利卡拉布里亞大學 (University of Calabria) DIMEG 系所的正教授。Franzè 博士於 1994 年獲得計算機工程學士學位，並於 1999 年獲得系統工程博士學位，均來自義大利卡拉布里亞大學。他在學術期刊、書籍章節和國際會議論文集中發表或共同發表了超過 220 篇研究論文。他目前的研究興趣包括受限預測控制、非線性系統、網絡控制系統、受限控制以及容錯系統的控制重配置，還有針對網絡物理系統的韌性控制。2019 年 11 月至 12 月，他曾擔任加拿大康考迪亞大學 (Concordia University) CIISE 系的訪問教授。自 2019 年以來，他是 IEEE 的高級會員。他是 2019 年 IEEE-CoDIT 會議（法國巴黎）和 2024 年 IEEE-CoDIT 會議（馬爾他瓦萊塔）最佳論文獎的共同獲得者。目前，他擔任 IEEE/CAA 自動化學報 (Journal of Automatica Sinica, JAS)、IEEE 自動化與科學工程期刊 (IEEE Transactions on Automation and Science Engineering) 和 IEEE 智能車輛期刊 (IEEE Transactions on Intelligent Vehicles) 的副編輯。他是 2020 年 IEEE/CAA 自動化學報 (JAS) 特刊「大規模網絡網絡物理系統的韌性控制」的客座編輯。從 2018 年 1 月到 2022 年 3 月，他擔任卡拉布里亞大學 DIMES 系所自動化工程碩士學位的研究生項目主任。自 2022 年 9 月以來，他是 IFAC 技術委員會 TC 6.4（技術過程的故障檢測、監控與安全 - SAFEPROCESS）的成員。此外，他還是 IFAC 技術委員會 TC 6.4 的「網絡物理系統的安全與安全性」工作組成員。

Dr. Giancarlo Fortino 是義大利卡拉布里亞大學 (Unical) 資訊學、建模、電子學與系統系的計算機工程正教授。他於 2000 年在 Unical 獲得計算機工程博士學位。他同時也是中國武漢科技大學和華中農業大學的特聘教授，中國 HUST、NIST、ECJTU、CUST 的高端專家，意大利 ICAR-CNR 研究所的高級研究員，CAS PIFI 外國科學家於深圳 SIAT，並擔任 IEEE Sensors Council、SMCS 和 IoT TC 的特聘講師。他於 1997 年和 1999 年曾在美國加州大學伯克利分校 (ICSI) 擔任訪問研究員，並於 2009 年在昆士蘭科技大學擔任訪問教授。在 Unical，他是校長國際關係的代表、ICT 博士學校的主席、AI 驅動的放射組學碩士課程的主任，以及 SPEME 實驗室的主任，同時也是 Unical 與武漢科技大學、南方大學和華中農業大學之間建立的物聯網聯合實驗室的共同主席。Fortino 目前是意大利 CINI 國家實驗室數位健康小組的科學負責人。他是 Clarivate 評選的 2020-2024 年計算機科學高被引研究者。他在 WoS 上有超過 25 篇高被引論文，h-index 為 86，Google Scholar 上的引用次數超過 30000。他的研究興趣包括可穿戴計算系統、電子健康、物聯網和基於代理的計算。他在國際期刊、會議和書籍上發表了超過 750 篇論文。他是 IEEE Press 人機系統書籍系列的創始系列編輯，Springer 物聯網系列的編輯，以及 IEEE TASE（高級編輯）、IEEE TAFFC-CS、IEEE THMS、IEEE T-AI、IEEE IoTJ、IEEE SJ、IEEE JBHI、IEEE SMCM、IEEE OJEMB、IEEE OJCS、Information Fusion、EAAI 等頂級國際期刊的副編輯。他主持了許多國際研討會和會議（超過 130 次），參與了大量國際會議/研討會（超過 700 次）作為 IPC 成員，並擔任過許多特刊的客座編輯（超過 80 次）。他是 SenSysCal S.r.l. 的共同創辦人和 CEO，這是一家專注於創新物聯網系統的 Unical 創業公司，最近還是專注於大數據、人工智慧和物聯網技術的創業公司 Bigtech S.r.l. 的共同創辦人和副 CEO。Fortino 目前是 IEEE SMCS 的網絡控制領域副主席，曾任 IEEE SMCS 理事會成員和 IEEE SMCS 意大利分會主席。

Dr. Walter Lucia 是加拿大康考迪亞大學 (Concordia University) 資訊系統工程研究所 (CIISE) 的副教授。他於 2011 年獲得自動化工程碩士學位，並於 2015 年獲得系統與計算機工程博士學位，均來自義大利卡拉布里亞大學。2013 年，他曾在美國東北大學 (Northeastern University) 電子與計算機工程系擔任訪問研究學者，2015 年在美國卡內基梅隆大學 (Carnegie Mellon University) 電子與計算機工程系擔任訪問博士後研究員。2016 年，Lucia 博士加入康考迪亞大學，擔任終身教職的助理教授，並於 2021 年晉升為副教授。Lucia 博士目前的研究興趣包括無人駕駛車輛的控制、預測控制、容錯控制以及網絡物理系統的安全與韌性控制。Lucia 博士目前擔任 IEEE 控制系統快報 (IEEE Control Systems Letters)、控制系統學會會議編輯委員會 (Control System Society - Conference Editorial Board) 和 IEEE 系統期刊 (IEEE Systems Journal) 的副編輯。此外，他還擔任 IEEE 蒙特利爾系統、人與控制系統分會的主席。

MengChu Zhou 於 1983 年在中國南京科技大學獲得控制工程學士學位，1986 年在北京理工大學獲得自動控制碩士學位，1990 年在美國倫斯勒理工學院獲得計算機與系統工程博士學位。他於 1990 年加入新澤西理工學院 (New Jersey Institute of Technology) 電子與計算機工程系，現為特聘教授。他的研究興趣包括智能自動化/交通、機器人、Petri 網、物聯網、邊緣/雲計算和大數據分析。他擁有超過 1300 篇出版物，包括 17 本書、超過 900 篇期刊論文（其中超過 700 篇為 IEEE Transactions 論文）、31 項專利和 32 篇書章。他曾獲得新澤西理工學院的研究卓越獎和獎牌、亞歷山大·馮·洪堡基金會頒發的美國高級科學家洪堡研究獎、IEEE 系統、人與控制系統學會的 Franklin V. Taylor 紀念獎和 Norbert Wiener 獎，以及新澤西州研究與發展委員會的愛迪生專利獎。他是美國中國科學技術協會的終身會員，並於 1999 年擔任其會長。他是 IEEE、國際自動控制聯盟 (IFAC)、美國科學促進會 (AAAS)、中國自動化協會 (CAA) 和國家發明家學院 (NAI) 的會士。

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