Sampled-Data Control of Logical Networks
暫譯: 邏輯網路的取樣數據控制

Liu, Yang, Lu, Jianquan, Sun, Liangjie

Sampled-Data Control of Logical Networks

相關主題

商品描述

This book mainly focuses on the sampled-data control of logical networks. We believe that the methods (semi-tensor product of matrices), results (recent results on Boolean control networks under periodic sampled-data control, Boolean control networks under aperiodic sampled-data control, and logical control networks under event-triggered control) and topics (logical networks) in this book have become of particular interest to readers recently. Firstly, logical networks are of interest due to their rich range of applications in biology, game theory, coding, finite automata, graph theory, and other fields. Secondly, semi-tensor product of matrices offers a useful tool for formulating, analyzing and designing controllers for logical networks. Moreover, this book is the first to introduce sampled-data control into the study of logical control networks. All research results in this book are novel and worthy of further study.

The book's content is divided into three parts (Boolean control networks under periodic sampled-data control, Boolean control networks under aperiodic sampled-data control, and logical control networks under event-triggered control), which essentially progress from easier to more difficult. In addition, corresponding examples and diagrams are included in each section to facilitate understanding.

商品描述(中文翻譯)

本書主要聚焦於邏輯網路的取樣數據控制。我們相信，本書中的方法（矩陣的半張量積）、結果（近期在週期性取樣數據控制下的布林控制網路、非週期性取樣數據控制下的布林控制網路，以及事件觸發控制下的邏輯控制網路的研究結果）和主題（邏輯網路）最近特別引起讀者的興趣。首先，邏輯網路因其在生物學、博弈論、編碼、有限自動機、圖論及其他領域的廣泛應用而受到關注。其次，矩陣的半張量積為邏輯網路的控制器的制定、分析和設計提供了一個有用的工具。此外，本書是首部將取樣數據控制引入邏輯控制網路研究的著作。本書中的所有研究結果都是新穎的，值得進一步研究。

本書的內容分為三個部分（週期性取樣數據控制下的布林控制網路、非週期性取樣數據控制下的布林控制網路，以及事件觸發控制下的邏輯控制網路），這些部分基本上是由簡入難。此外，每個部分都包含相應的範例和圖示，以便於理解。

作者簡介

Yang Liu (Senior Member, IEEE) is currently a Professor at the College of Mathematics and Computer Science, Zhejiang Normal University, China. He received his B.S. degree in mathematics from Zhejiang Normal University, Zhejiang, China, in 2003, and his Ph.D. degree from Tongji University, Shanghai, in 2008. He has authored over 100 publications and two books. He is an Associate Editor of Neural Processing Letters (Springer). He was recognized by Elsevier as a Most Cited Chinese Researcher in 2020-2021, and by Clarivate Analytics as a Highly Cited Researcher in 2019-2021. He was the supervisor of the ICCM Best Paper Award in 2016 and 2022. His research interests include distributed optimization, hybrid systems and logical systems.

Jianquan Lu (Senior Member, IEEE) is currently a Professor at the Department of Systems Science, School of Mathematics, Southeast University, Nanjing, China. He received his B.S. degree in mathematics from Zhejiang Normal University, Zhejiang, China, in 2003, his M.S. degree in mathematics from Southeast University, Nanjing, China, in 2006, and his Ph.D. degree in applied mathematics from City University of Hong Kong in 2009. From 2010 to 2012, he was an Alexander von Humboldt Research Fellow at the PIK, Germany. His current research interests include collective behavior in complex dynamical networks and multi-agent systems, logical networks, and hybrid systems. He has published over 90 papers in refereed international journals. Dr. Lu was named a Highly Cited Researcher by Clarivate Analytics from 2018 for three consecutive years, and he was elected one of the Most Cited Chinese Researchers by Elsevier in 2014-2019. He was part of the Program for New Century Excellent Talents in University by The Ministry of Education, China in 2010, and won 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 (Springer), Journal of Franklin Institute (Elsevier), and Neural Computing and Applications (Springer), and a guest editor of Science China: Information Sciences, Mathematics and Computers in Simulation (Elsevier) and IET Control Theory & Applications.

Liangjie Sun is currently pursuing her Ph.D. degree at the Department of Mathematics, The University of Hong Kong. She received her B.S. degree in mathematics from Zhejiang Normal University, Zhejiang, China, in 2016, and her M.S. degree in mathematics from Southeast University, Nanjing, China, in 2019. Her undergraduate thesis: "On the Control Theory of Logical Systems: An Approach of Semi-Tensor Product of Matrices" won the New World Mathematics Awards, Bachelor Thesis Awards - Silver Prize in 2016. Her master's thesis: "Sampled-data control of Boolean networks and some related qualitative problems" won the outstanding master's degree award of Jiangsu Province in 2020. Her current research interests include logical dynamics systems and computational biology.

作者簡介(中文翻譯)

楊柳（IEEE 高級會員）目前是中國浙江師範大學數學與計算機科學學院的教授。他於2003年在浙江師範大學獲得數學學士學位，並於2008年在同濟大學獲得博士學位。他已發表超過100篇論文和兩本書籍。他是《Neural Processing Letters》（Springer）的副編輯。他在2020-2021年被Elsevier評選為最被引用的中國研究者，並在2019-2021年被Clarivate Analytics評選為高被引用研究者。他曾擔任2016年和2022年ICCM最佳論文獎的指導老師。他的研究興趣包括分佈式優化、混合系統和邏輯系統。

陸建全（IEEE 高級會員）目前是中國南京東南大學數學學院系統科學系的教授。他於2003年在浙江師範大學獲得數學學士學位，於2006年在南京東南大學獲得數學碩士學位，並於2009年在香港城市大學獲得應用數學博士學位。2010年至2012年，他曾在德國PIK擔任亞歷山大·馮·洪堡研究員。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、邏輯網絡和混合系統。他在國際同行評審期刊上發表了超過90篇論文。陸博士自2018年起連續三年被Clarivate Analytics評選為高被引用研究者，並於2014-2019年被Elsevier評選為最被引用的中國研究者。他於2010年入選中國教育部新世紀優秀人才計劃，並作為第一項目成員獲得2016年江蘇省科技進步二等獎，作為第二項目成員獲得2010年江蘇省科技進步一等獎。陸博士是《Neural Processing Letters》（Springer）、《Journal of Franklin Institute》（Elsevier）和《Neural Computing and Applications》（Springer）的副編輯，以及《Science China: Information Sciences》、《Mathematics and Computers in Simulation》（Elsevier）和《IET Control Theory & Applications》的客座編輯。

孫亮杰目前在香港大學數學系攻讀博士學位。她於2016年在浙江師範大學獲得數學學士學位，並於2019年在南京東南大學獲得數學碩士學位。她的本科論文《邏輯系統的控制理論：矩陣半張量積的方法》於2016年獲得新世界數學獎，榮獲本科論文獎銀獎。她的碩士論文《布爾網絡的取樣數據控制及一些相關的定性問題》於2020年獲得江蘇省優秀碩士學位獎。她目前的研究興趣包括邏輯動態系統和計算生物學。

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