Collective Behavior in Complex Networked Systems Under Imperfect Communication
暫譯: 不完美通信下複雜網絡系統中的集體行為
Lu, Jianquan, Li, Lulu, Ho, Daniel W. C.
- 出版商: Springer
- 出版日期: 2021-07-07
- 售價: $5,210
- 貴賓價: 9.5 折 $4,950
- 語言: 英文
- 頁數: 269
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9811615055
- ISBN-13: 9789811615054
海外代購書籍(需單獨結帳)
商品描述
This book aims to explain how collective behavior is formed via local interactions under imperfect communication in complex networked systems. It also presents some new distributed protocols or algorithms for complex networked systems to comply with bandwidth limitation and tolerate communication delays.
This book will be of particular interest to the readers due to the benefits: 1) it studies the effect of time delay and quantization on the collective behavior by non-smooth analytical technique and algebraic graph theory; 2) it introduces the event-based consensus method under delayed information transmission; In the meantime, it presents some novel approaches to handle the communication constraints in networked systems; 3) it gives some synchronization and control strategies for complex networked systems with limited communication abilities. Furthermore, it provides a consensus recovery approach for multi-agent systems with node failure. Also, it presents interesting results about bipartite consensus and fixed-time/finite-time bipartite consensus of networks with cooperative and antagonistic interactions.
商品描述(中文翻譯)
這本書旨在解釋在複雜網絡系統中,如何透過局部互動在不完美的通信條件下形成集體行為。它還提出了一些新的分散式協議或算法,以使複雜網絡系統能夠遵守帶寬限制並容忍通信延遲。
這本書將特別吸引讀者,因為它帶來了以下好處:1) 它通過非平滑分析技術和代數圖論研究時間延遲和量化對集體行為的影響;2) 它介紹了在延遲信息傳輸下的事件驅動共識方法;同時,它提出了一些新穎的方法來處理網絡系統中的通信限制;3) 它提供了一些針對具有有限通信能力的複雜網絡系統的同步和控制策略。此外,它還提供了一種針對具有節點故障的多代理系統的共識恢復方法。還呈現了有關合作和對抗互動的網絡的二分共識及固定時間/有限時間二分共識的有趣結果。
作者簡介
Jianquan Lu received the B.S. degree in mathematics from Zhejiang Normal University, Zhejiang, China, in 2003, the M.S. degree in mathematics from Southeast University, Nanjing, China, in 2006, and the Ph.D. degree in applied mathematics from City University of Hong Kong, Hong Kong, in 2009. From 2010 to 2012, he was an Alexander von Humboldt Research Fellow in PIK, Germany. He is currently a professor at the Department of Systems Science, School of Mathematics, Southeast University, Nanjing, China. His current research interests include collective behavior in complex dynamical networks and multi-agent systems, Boolean networks, and hybrid systems. He has published over 100 papers in refereed international journals.
Prof. Lu is a Senior Member of IEEE, was named as Highly Cited Researcher by Clarivate Analytics from 2018 for three consecutive years, and he was elected Most Cited Chinese Researchers by Elsevier in 2014-2019, Program for New Century Excellent Talents in University by The Ministry of Education, China in 2010, and the Second Award of Jiangsu Provincial Progress in Science and Technology in 2016 as the First Project Member, and the First Award of Jiangsu Provincial Progress in Science and Technology in 2010 as the Second Project Member. Dr. Lu is an associate editor of Neural Processing Letters, Journal of Franklin Institute, and Neural Computing and Applications, and a guest editor of Science China: Information Sciences, Mathematics and Computers in Simulation and IET Control Theory & Applications.
Lulu Li received the B.S. degree in mathematics and applied mathematics from Anhui Normal University, Wuhu, China, in 2007 and the M.S. degree in mathematics from Southeast University, Nanjing, China, in 2010 and the Ph.D. degree from City University of Hong Kong, Hong Kong, in 2013. He is currently an Associate Professor at the School of Mathematics, Hefei University of Technology, Hefei, China. His current research interests include nonlinear system, collective behavior in complex dynamical networks and multiagent systems, and stability theory. He has published over 20 papers in refereed international journals. He was elected The ``Anhui Youth Science Award of Mathematics'' in 2018 and, The Second Award of Jiangsu Provincial Progress in Science and Technology in 2016 as the Fifth Project Member.
Daniel W.C. Ho received the B.S., M.S., and Ph.D. degrees in mathematics from the University of Salford, Greater Manchester, U.K., in 1980, 1982, and 1986, respectively. From 1985 to 1988, he was a Research Fellow with the Industrial Control Unit, University of Strathclyde, Glasgow, U.K. In 1989, He joined City University of Hong Kong, Hong Kong. He is currently a Chair Professor in applied mathematics with the Department of Mathematics, and the Associate Dean with the College of Science. His current research interests include control and estimation theory, complex dynamical distributed networks, multi-agent networks, and stochastic systems. He has over 250 publications in scientific journals.
Prof. Ho is a Fellow of the IEEE. He was honored to be the Chang Jiang Chair Professor awarded by the Ministry of Education, China, in 2012. He has been on the editorial board of a number of journals including IEEE Transactions on Neural Networks and Learning Systems, IET Control Theory and its Applications, Neural Networks, Journal of the Franklin Institute and Asian Journal of Control. He is named as ISI Highly Cited Researchers (2014-2020) in Engineering.
Jinde Cao received the B.S. degree from Anhui Normal University, Wuhu, China, the M.S. degree from Yunnan University, Kunming, China, and the Ph.D. degree from Sichuan University, Chengdu, China, all in mathematics/applied mathematics, in 1986, 1989, and 1998, respectively.
He is an Endowed Chair Professor, the Dean of the School of Mathematics, the Director of the Jiangsu Provincial Key Laboratory of Networked Collective Intelligence of China and the Director of the Research Center for Complex Systems and Network Sciences at Southeast University. Prof. Cao was a recipient of the National Innovation Award of China, Gold medal of Russian Academy of Natural Sciences, Obada Prize and the Highly Cited Researcher Award in Engineering, Computer Science, and Mathematics by Thomson Reuters/Clarivate Analytics. He is elected as IEEE Fellow, a member of the Academy of Europe, a foreign member of Russian Academy of Engineering, a member of the European Academy of Sciences and Arts, a foreign member of Russian Academy of Natural Sciences, a foreign fellow of Pakistan Academy of Sciences, a fellow of African Academy of Sciences, a foreign Member of the Lithuanian Academy of Sciences, an IASCYS academician, and a full member of Sigma Xi.
作者簡介(中文翻譯)
陸建全於2003年獲得中國浙江師範大學數學學士學位,2006年獲得中國南京東南大學數學碩士學位,並於2009年獲得香港城市大學應用數學博士學位。從2010年到2012年,他在德國PIK擔任亞歷山大·馮·洪堡研究員。目前,他是中國南京東南大學數學學院系統科學系的教授。他目前的研究興趣包括複雜動態網絡和多智能體系統中的集體行為、布爾網絡和混合系統。他在國際同行評審期刊上發表了超過100篇論文。
陸教授是IEEE的高級會員,2018年起連續三年被Clarivate Analytics評選為高被引研究者,並於2014至2019年被Elsevier評選為最被引用的中國研究者,2010年獲得中國教育部新世紀優秀人才計畫,2016年作為第一項目成員獲得江蘇省科技進步二等獎,2010年作為第二項目成員獲得江蘇省科技進步一等獎。陸博士是《Neural Processing Letters》、《Franklin Institute Journal》和《Neural Computing and Applications》的副編輯,以及《Science China: Information Sciences》、《Mathematics and Computers in Simulation》和《IET Control Theory & Applications》的客座編輯。
李璐璐於2007年獲得中國蕪湖安徽師範大學數學與應用數學學士學位,2010年獲得中國南京東南大學數學碩士學位,並於2013年獲得香港城市大學博士學位。目前,他是中國合肥工業大學數學學院的副教授。他目前的研究興趣包括非線性系統、複雜動態網絡和多智能體系統中的集體行為以及穩定性理論。他在國際同行評審期刊上發表了超過20篇論文。他於2018年獲得「安徽省青年數學科學獎」,並於2016年作為第五項目成員獲得江蘇省科技進步二等獎。
何文昌於1980年、1982年和1986年分別在英國大曼徹斯特薩爾福德大學獲得數學學士、碩士和博士學位。從1985年到1988年,他在英國格拉斯哥斯特拉斯克萊德大學的工業控制單位擔任研究員。1989年,他加入香港城市大學。目前,他是數學系的應用數學講座教授,並擔任科學學院的副院長。他目前的研究興趣包括控制與估計理論、複雜動態分佈網絡、多智能體網絡和隨機系統。他在科學期刊上發表了超過250篇論文。
何教授是IEEE的會士。他於2012年獲得中國教育部頒發的長江講座教授榮譽。他曾擔任多個期刊的編輯委員會成員,包括《IEEE Transactions on Neural Networks and Learning Systems》、《IET Control Theory and its Applications》、《Neural Networks》、《Franklin Institute Journal》和《Asian Journal of Control》。他被評選為2014至2020年工程領域的ISI高被引研究者。
曹金德於1986年在中國蕪湖安徽師範大學獲得學士學位,1989年在中國昆明雲南大學獲得碩士學位,1998年在中國成都四川大學獲得博士學位,均為數學/應用數學專業。
他是 endowed chair professor,數學學院院長,中國江蘇省網絡集體智慧重點實驗室主任,以及東南大學複雜系統與網絡科學研究中心主任。曹教授曾獲得中國國家創新獎、俄羅斯自然科學院金獎、Obada獎,以及由Thomson Reuters/Clarivate Analytics頒發的工程、計算機科學和數學高被引研究者獎。他被選為IEEE會士,歐洲科學院成員,俄羅斯工程院外籍成員,歐洲科學與藝術學院成員,俄羅斯自然科學院外籍成員,巴基斯坦科學院外籍院士,非洲科學院院士,立陶宛科學院外籍成員,IASCYS院士,以及Sigma Xi的正式成員。