Iterative Learning Control for Network Systems Under Constrained Information Communication

Xiong, Wenjun, Luo, Zijian, Ho, Daniel W. C.

Iterative Learning Control for Network Systems Under Constrained Information Communication
  • 出版商: Springer
  • 出版日期: 2024-03-27
  • 售價: $6,290
  • 貴賓價: 9.5 折 $5,976
  • 語言: 英文
  • 頁數: 223
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 9819709253
  • ISBN-13: 9789819709250

    • 海外代購書籍(需單獨結帳)

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商品描述

This book focuses on the subject area of Network Systems and Control Theory, providing a comprehensive examination of the dynamic behavior of networked systems operating under communication constraints. It introduces innovative iterative learning control strategies that aim to ensure stability, consistency, and security of networked systems. The field of networked systems has garnered significant interest from scientists and engineers across various disciplines, including information, electrical, transportation, life, social, and management sciences. This book consistently addresses a wide range of issues related to networked systems, emphasizing the critical impact of communication constraints on stability and security. It highlights the effectiveness and importance of iterative learning methods in tackling these challenges.
Suitable for both undergraduate and graduate students interested in networked systems and iterative learning control, this book alsoserves as a valuable resource for university faculty and engineers engaged in complex systems, control theory research, and real-world applications. Its broad appeal extends to professionals working in related fields, seeking a deeper understanding of networked systems and their control mechanisms.

商品描述(中文翻譯)

本書專注於網路系統與控制理論的領域，全面探討在通信限制下運作的網路系統的動態行為。它介紹了創新的迭代學習控制策略，旨在確保網路系統的穩定性、一致性和安全性。網路系統領域已引起來自各個學科的科學家和工程師的重大關注，包括資訊、電機、交通、生命、社會及管理科學。本書持續探討與網路系統相關的各種議題，強調通信限制對穩定性和安全性的關鍵影響。它突顯了迭代學習方法在應對這些挑戰中的有效性和重要性。

本書適合對網路系統和迭代學習控制感興趣的本科生和研究生，同時也為從事複雜系統、控制理論研究及實際應用的大學教職員和工程師提供了寶貴的資源。其廣泛的吸引力延伸至相關領域的專業人士，幫助他們深入了解網路系統及其控制機制。

作者簡介

Prof. Wenjun Xiong received the M.Sc. degree in applied mathematics from the Department of Mathematics, Southeast University, Nanjing, China, in 2005 and the Ph.D. degree in applied mathematics from the Department of Mathematics, City University of Hong Kong, China, in 2010. She is Professor at the School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China. Her research interests include iterative learning control, complex networks, nonlinear dynamics and control, and cooperative control of autonomous systems. Dr. Zijian Luo received his B.S. and M.Sc. degrees from Guizhou University in 2013 and 2017, respectively. And he will receive the Ph.D. degree in the School of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, China, in 2023. His current research interests include iterative learning control, complex networks, differential equations, and distributed control. Prof. Daniel W. C. Ho received B.S., M.S., and Ph.D. degrees in mathematics from the University of Salford, Greater Manchester, UK, in 1980, 1982, and 1986, respectively. From 1985 to 1988, he was Research Fellow with the Industrial Control Unit, University of Strathclyde, Glasgow, UK. In 1989, he joined the City University of Hong Kong, where he is currently Chair Professor of Applied Mathematics and Associate Dean of the College of Science. He has over 270 publications in scientific journals. His research interests include control and estimation theory, complex dynamical distributed networks, multiagent systems, and stochastic systems.

作者簡介(中文翻譯)

熊文君教授於2005年獲得中國南京東南大學數學系應用數學碩士學位，並於2010年獲得中國香港城市大學數學系應用數學博士學位。她目前是中國成都西南財經大學計算與人工智慧學院的教授。她的研究興趣包括迭代學習控制、複雜網絡、非線性動力學與控制，以及自主系統的協作控制。

羅子健博士於2013年和2017年分別獲得貴州大學的學士和碩士學位，並將於2023年在中國成都西南財經大學計算與人工智慧學院獲得博士學位。他目前的研究興趣包括迭代學習控制、複雜網絡、微分方程和分散控制。

何道文教授於1980年、1982年和1986年分別在英國大曼徹斯特的薩爾福德大學獲得數學學士、碩士和博士學位。1985年至1988年，他在英國格拉斯哥的斯特拉斯克萊德大學工業控制單位擔任研究員。1989年，他加入香港城市大學，目前擔任應用數學講座教授及科學學院副院長。他在科學期刊上發表了超過270篇論文。其研究興趣包括控制與估計理論、複雜動態分散網絡、多智能體系統和隨機系統。

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