Secure Control of Networked Control Systems and Its Applications

Professor Dong Yue is the dean of Institute of Advanced Technology, College of Automation & College of Artificial Intelligence of Nanjing University of Posts and Telecommunications. In 2009, he was appointed aprestigious Chair by China’s Ministry of Education, “Chang Jiang (Yangtze River) Scholar Chair Professor” and was granted a Special Allowance from the State Council. He is the chief of Jiangsu Engineering Laboratory of Big Data Analysis and Control for Active Distribution Network. He is a World’s Highly Cited Researcher by Thomson Reuters in 2018, and a Chinese Highly Cited Researcher by Elsevier in 2014-2017.Professor Yue serves as the Guest Editor, Associate Editor of International Journals, IEEE TSMCA, IEEE TNNL, JFI and IJSS. He is the member of Editorial Board of Control Theory & Applications, Information and Control, the member of Expert Group of Intelligent Manufacturing Alliance of CAST Member Societies, the committee member of IFAC TC6.3 Power and Energy Systems, the Managing Director and deputy secretary general of Chinese Association for Artificial Intelligence, the Deputy Director of Energy Internet of Chinese Association of Automation, the Vice Chairman of Embedded Instrumentation and System Technology Chapter of China Instrument and Control Society, the member of Technical Committee of Control Theory, Process Control and Intelligent Automation of Chinese Association of Automation, the Managing Director of Chinese Association of Automation.Professor Yue has secured over twenty competitive grants including 863 National Project, Key General Project of the Natural Science Foundation of China and Provincial Project. He was awarded one First-Prize in Natural Science of Chinese Association of Automation, three Second-Prize of provincial Science and Technology and over 100 patents for invention. He has published over two hundred papers collected in SCI, and has been cited over 3500 times. His research interests include networked control, big data analysis and coordination control of Smart grid, Internet of Things and its application. Songlin Hu received the Ph.D. degree in control science and engineering from the Huazhong University of Science and Technology, Wuhan, China, in 2012. Since 2013, he has been with the College of Automation, Nanjing University of Posts and Telecommunications, Nanjing, China, where he is currently an Associate Professor with the Institute of Advanced Technology. His current research interests include networked/event-triggered control, T–S fuzzy systems, and time delay systems. Zihao Cheng received the Ph.D. degree in Information security from the Nanjing University of Posts and Telecommunications, Nanjing, China, in 2020. Since 2020, he has been with the College of Information Technology,Henan University of Chinese Medicine, Zhengzhou, China. His current research interests include power system, secure control of networkedcontrol system.

Introduction.- Resilient Event-Triggered Controller Synthesis of Networked Control Systems Under Periodic DoS Jamming Attacks.- Observer-Based Event-Triggered Control for Networked Linear Systems Subject to Denial-of-Service Attacks.- Security Control of Cyber-Physical System Based on Switching Approach for Intermittent Denial-of-Service Jamming Attack.- Event-Based Secure Leader-Following Consensus Control for Multiagent Systems With Multiple Cyber Attacks.- Observer-Based Distributed Secure Consensus Control of a Class of Linear Multi-Agent Systems Subject to Random Attacks.- Security Control of Networked T-S Fuzzy System Under Intermittent DoS Jamming Attack with Event-Based Predictor.- Bandwidth Allocation-Based Switched Dynamic Triggering Control Against DoS Attacks.- Attack-Resilient Event-Triggered Controller Design of DC Microgrids Under DoS Attacks.- Resilient dynamic event-triggered control for multi-area power systems with renewable energy penetration under DoS attacks.- Resilient Load Frequency Control Design: DoS Attacks Against Additional Control Loop.- Secure Distributed Optimal Frequency Regulation of Power Grid with Time-Varying Voltages under Cyberattack