Estimation and Control of Large Scale Networked Systems is the first book that systematically summarizes results on large-scale networked systems. In addition, the book also summarizes the most recent results on structure identification of a networked system, attack identification and prevention. Readers will find the necessary mathematical knowledge for studying large-scale networked systems, as well as a systematic description of the current status of this field, the features of these systems, difficulties in dealing with state estimation and controller design, and major achievements.
Numerical examples in chapters provide strong application backgrounds and/or are abstracted from actual engineering problems, such as gene regulation networks and electricity power systems. This book is an ideal resource for researchers in the field of systems and control engineering.
- Provides necessary mathematical knowledge for studying large scale networked systems
- Introduces new features for filter and control design of networked control systems
- Summarizes the most recent results on structural identification of a networked system, attack identification and prevention
Graduate students, researchers and engineers in systems engineering with background in control, mechanical, aerospace, automotive, electrical, and industrial engineering
2. Background Mathematical Results
3. Controllability and Observability of an LSS
4. Kalman Filtering and Robust Estimation
5. State Estimation With Random Data Droppings
6. Distributed State Estimation in an LSS
7. Stability and Robust Stability of a Large-Scale NCS
8. Control with Communication Constraints
9. Distributed Control for Large-Scale NCSs
10. Structure Identification for Networked Systems
11. Attack Identification and Prevention in Networked Systems
12. Some Related Issues
- No. of pages:
- © Butterworth-Heinemann 2018
- 29th June 2018
- Paperback ISBN:
Tong Zhou was born in Hunan Province, China, in 1964. He received the B.S. and M.S. degrees from the University of Electronic Science and Technology of China, Chengdu, China, in 1984 and 1989, respectively, another M.S.degree from Kanazawa University, Ishikawa Prefecture, Japan, in 1991, and the Ph.D. degree from Osaka University, Osaka, Japan, in 1994. After visiting several universities in The Netherlands, China, and Japan, he joined Tsinghua University, Beijing, China, in 1999, where he is currently a Professor of control theory and control engineering. His current research interests include robust estimation and control, system identification, signal processing, hybrid systems, and their applications to real-world problems in molecular cell biology, spatio-temporal systems, magnetic levitation systems, and communication systems. Dr. Zhou was a recipient of the First-Class Natural Science Prize in 2003 from the Ministry of Education, China, and a recipient of the National Outstanding Youth Foundation of China in 2006. He has served as an Associate Editor of the IEEE TRANSACTIONS ON AUTOMATIC CONTROL continuously for two terms (6 years), and is now on the editorial board of AUTOMATICA (continuously in the 4th term). He is a Fellow of the IEEE.
Professor, Department of Automation, Tsinghua University, Beijing, China
Keyou You received the B.S. degree in Statistical Science from Sun Yat-sen University, Guangzhou, China, in 2007 and the Ph.D. degree in Electrical and Electronic Engineering from Nanyang Technological University (NTU), Singapore, in 2012. After briefly working as a Research Fellow at NTU, he joined Tsinghua University in Beijing, China where he is now an Associate Professor in the Department of Automation. He held visiting positions at Politecnico di Torino, The Hong Kong University of Science and Technology, The University of Melbourne and etc. His current research interests include networked control systems, distributed algorithms, and their applications. Dr. You received the Guan Zhaozhi award at the 29th Chinese Control Conference in 2010, and the CSC-IBM China Faculty Award in 2014. He was selected to the National Young 1000-plan Talent Program in 2014, and received the Outstanding Young Scholar Fund from the National Natural Science Foundation of China in 2017.
Associate Professor, Tsinghua University, Beijing, China
Tao Li received the B.E. degree in automation from Nankai University, Tianjin, China, in 2004, and the Ph.D. degree in systems theory from the Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China, in 2009. Since 2017, he has been a Professor with the Department of Mathematics, East China Normal University, Shanghai, China. Dr. Li's current research interests include stochastic systems, Cyber-Physical multi-agent systems and game theory. Dr. Li received the 28th "Zhang Siying" (CCDC) Outstanding Youth Paper Award in 2016, the Best Paper Award of the 7th Asian Control Conference with coauthors in 2009, and honourable mentioned as one of five finalists for Young Author Prize of the 17th IFAC Congress. He received the 2009 Singapore Millennium Foundation Research Fellowship and the 2010 Australian Endeavor Research Fellowship. He was entitled Dongfang Distinguished Professor by Shanghai Municipality in 2012 and received the Outstanding Young Scholar Fund from the National Natural Science Foundation of China in 2015. He now serves as an Associate Editor of Science China Information Sciences and Journal of Systems Science and Mathematical Sciences. He is a member of IFAC Technical Committee on Networked Systems and a member of Technical Committee on Control and Decision of Cyber-Physical Systems, Chinese Association of Automation.
Professor, East China Normal University,Shanghai, China