Sampled-data Control of Logical Networks

eBook

173,95 €
(inkl. MwSt.)
E-Book Download

Download

Bibliografische Daten
ISBN/EAN: 9789811982613
Sprache: Englisch
Umfang: 0 S., 5.91 MB
Auflage: 1. Auflage 2023
E-Book
Format: PDF
DRM: Digitales Wasserzeichen

Beschreibung

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 books 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.

Autorenportrait

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 asthe 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 masters thesis: Sampled-data control of Boolean networks and some related qualitative problems won the outstanding masters degree award of Jiangsu Province in 2020. Her current research interests include logical dynamics systems and computational biology.

Inhalt

Chapter 1 Introduction.- Chapter 2 Stabilization of sampled-data Boolean control networks.- Chapter 3 Controllability, observability and synchronization of sampled-data Boolean control networks.- Chapter 4 Stabilization of probabilistic Boolean control networks under sampled-data control.- Chapter 5 Stabilization of aperiodic sampled-data Boolean control networks.- Chapter 6 Event-triggered control for logical control networks.

Informationen zu E-Books

Herzlichen Glückwunsch zum Kauf eines Ebooks bei der BUCHBOX! Hier nun ein paar praktische Infos.

Adobe-ID

Hast du E-Books mit einem Kopierschutz (DRM) erworben, benötigst du dazu immer eine Adobe-ID. Bitte klicke einfach hier und trage dort Namen, Mailadresse und ein selbstgewähltes Passwort ein. Die Kombination von Mailadresse und Passwort ist deine Adobe-ID. Notiere sie dir bitte sorgfältig. 
 
Achtung: Wenn du kopiergeschützte E-Books OHNE Vergabe einer Adobe-ID herunterlädst, kannst du diese niemals auf einem anderen Gerät außer auf deinem PC lesen!!
 
Du hast dein Passwort zur Adobe-ID vergessen? Dann kannst du dies HIER neu beantragen.
 
 

Lesen auf dem Tablet oder Handy

Wenn du auf deinem Tablet lesen möchtest, verwende eine dafür geeignete App. 

Für iPad oder Iphone etc. hole dir im iTunes-Store die Lese-App Bluefire

Für Android-Geräte (z.B. Samsung) bekommst du die Lese-App Bluefire im GooglePlay-Store (oder auch: Aldiko)
 
Lesen auf einem E-Book-Reader oder am PC / MAC
 
Um die Dateien auf deinen PC herunter zu laden und auf dein E-Book-Lesegerät zu übertragen gibt es die Software ADE (Adobe Digital Editions).
 
 

Andere Geräte / Software

 

Kindle von Amazon. Wir empfehlen diese Geräte NICHT.

EPUB mit Adobe-DRM können nicht mit einem Kindle von Amazon gelesen werden. Weder das Dateiformat EPUB, noch der Kopierschutz Adobe-DRM sind mit dem Kindle kompatibel. Umgekehrt können alle bei Amazon gekauften E-Books nur auf dem Gerät von Amazon gelesen werden. Lesegeräte wie der Tolino sind im Gegensatz hierzu völlig frei: Du kannst bei vielen tausend Buchhandlungen online Ebooks für den Tolino kaufen. Zum Beispiel hier bei uns.

Software für Sony-E-Book-Reader

Wenn du einen Sony-Reader hast, dann findest du hier noch die zusätzliche Sony-Software.
 

Computer/Laptop mit Unix oder Linux

Die Software Adobe Digital Editions ist mit Unix und Linux nicht kompatibel. Mit einer WINE-Virtualisierung kommst du aber dennoch an deine E-Books.