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Sampled-data Control of Logical Networks de Yang Liu

Sampled-data Control of Logical Networks

Autor Yang Liu, Jianquan Lu, Liangjie Sun
en Limba Engleză Paperback – 10 mar 2024
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.
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Specificații

ISBN-13: 9789811982637
ISBN-10: 9811982635
Pagini: 240
Ilustrații: XVII, 219 p. 1 illus.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.37 kg
Ediția:2023
Editura: Springer
Locul publicării:Singapore, Singapore

Cuprins

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.

Recenzii

“The key feature of the book is the conversion of the dynamics of a control network to its algebraic representation based on the so-called semi-tensor product (STP) of matrices. ... Many numerical examples with real-world motivations are prepared to help readers digest the theoretical results.” (Qianchuan Zhao, Mathematical Reviews, February, 2024)
“In this book, the authors investigate sampled-data control of logical networks. More precisely, they cover the most updated results on sampled-data control of Boolean networks, including the authors’ contributions. In addition, many illustrative examples are provided.” (Savin Treanţă, zbMATH 1519.93003, 2023)

Notă biografică

Jiayue Sun received the Ph.D. degree in power electronics and power transmission from Northeastern University in Shenyang, China, under the supervision of IEEE Fellow Huaguang Zhang, in 2021. She is a postdoctoral fellow under Tianyou Chai (a member of the Chinese Academy of Engineering, IEEE Life Fellow), in the State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University. She is currently a Teacher with Northeastern University. She has authored or coauthored 40 peer-reviewed international journal papers. Her current research interests include optimization of complex industrial processes, intelligent adaptive learning, and distributed control of multiagent systems.
Dr. Sun is a member of the Institute of Electrical and Electronics Engineers (IEEE), the Chinese Association of Automation (CAA) and Chinese Association for Artificial Intelligence (CAAI), where she works as the Intelligent Adaptive Cooperative Optimization Control Committee's Vice Secretary-General.
Shun Xu received the B.S. degree in clinical medicine, the M.S. degree in surgery, and the Ph.D. degree in thoracic surgery from China Medical University, Shenyang, China, in 1987, 1990, and 1995, respectively. He studied in Japan from 1994 to 1996. He is a chief physician, director of thoracic surgery, and director of the Lung Cancer Research Laboratory at China Medical University's Cancer Institute. He is also a national second-level professor and a doctoral supervisor. He has presided over and participated in a number of national, provincial, and ministerial level research works. His research interests include applications of reinforcement learning, convolution neural network, and pattern recognition in medical image, especially for diagnosis of lung cancer, esophageal cancer, and other thoracic tumors.
Dr. Xu has been awarded the State Council Special Allowance from the State Council. He is a member of the ThoracicCardiovascular Surgery Branch Committee of the Chinese Medical Association. He serves as the chairman of the Thoracic Surgery Branch Committee of the Liaoning Medical Association.
Yang Liu is a medical doctor specializing in thoracic surgery. He holds the positions of associate professor, associate chief physician, and master's supervisor for graduate students. He has authored numerous articles in both national and international medical journals, focusing on the topics of lung cancer and tumors. His research interests include reinforcement learning, adaptive dynamic programming, neural networks, and their applications in diagnosing lung diseases.
Dr. Liu is a member of the Cell Biology Cardiopulmonary Rehabilitation Committee in Liaoning Province. His primary research area revolves around standardized treatment for lung cancer and mediastinal tumors. He has led a youth fund of the National Natural Science Foundation of China, and has also participated in the National Natural Science Foundation of China (General Project). Additionally, he serves as an expert for the National Natural Science Foundation Committee.
Huaguang Zhang received the B.S. and M.S. degrees in control engineering from the Northeast Dianli University of China, Jilin City, China, in 1982 and 1985, respectively, and the Ph.D. degree in thermal power engineering and automation from Southeast University, Nanjing, China, in 1991. He joined the Department of Automatic Control, Northeastern University, Shenyang, China, in 1992, as a Postdoctoral Fellow, for two years, where he has been a Professor and the Head of the Institute of Electric Automation, College of Information Science and Engineering since 1994. He has authored or coauthored over 200 journal and conference papers and four monographs and has co-invented 20 patents. His current research interests include fuzzy control, stochastic-system control, neural-network-based control, nonlinea

Textul de pe ultima copertă

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.

Caracteristici

This book is the first to introduce sampled-data control into the study of Boolean control networks Presents the latest results on sampled-data control of Boolean networks, including the authors’ own contributions All research results in this book are novel and worthy of further study