Weiwei Che
Title: Data-Driven Security Control against Network Attacks
Abstract: In practical systems, the accurate models are usually difficult to obtain with the development of the industrial technology. Therefore, data-driven control methods have attracted more and more attention in the big data era. In addition, while providing convenience, the wireless network channels used to transmit a large amount of system data will be maliciously attacked. Thus, the security problem is very important for data-driven control methods. This report focuses on the data-driven security control problem against two types of denial-of-service attacks for a class of nonlinear systems. At the same time, two kinds of attack compensation mechanism are presented to alleviate the influence of network attacks, respectively.
Biography: Che Weiwei is currently a Professor and doctoral supervisor of the College of Automation, Qingdao University, Qingdao, China. She received the Ph.D. degree in navigation, guidance and control engineering from Northeastern University, Shenyang, China, in 2008. She was a Post-Doctoral Fellow with Nanyang Technological University, Singapore, from October 2008 to October 2009. From January 2015 to April 2015, she was a visiting scholar at the University of Hong Kong. From March 2017 to August 2017, she was concurrently employed in the department three of Information Science, National Natural Science Foundation of China. She was selected into Shandong Province Taishan Scholars Young Expert Program in 2018. She is currently the associate editor of International Journal of Fuzzy Systems. And she has presided over 3 national Natural Science Foundation of China (NSFC) projects, 1 joint key project sub-project of NSFC, 1 key project of Shandong Province, and more than 10 other provincial and ministerial projects. She has also published more than 50 SCI papers as the first and corresponding author.
Abstract: In practical systems, the accurate models are usually difficult to obtain with the development of the industrial technology. Therefore, data-driven control methods have attracted more and more attention in the big data era. In addition, while providing convenience, the wireless network channels used to transmit a large amount of system data will be maliciously attacked. Thus, the security problem is very important for data-driven control methods. This report focuses on the data-driven security control problem against two types of denial-of-service attacks for a class of nonlinear systems. At the same time, two kinds of attack compensation mechanism are presented to alleviate the influence of network attacks, respectively.
Biography: Che Weiwei is currently a Professor and doctoral supervisor of the College of Automation, Qingdao University, Qingdao, China. She received the Ph.D. degree in navigation, guidance and control engineering from Northeastern University, Shenyang, China, in 2008. She was a Post-Doctoral Fellow with Nanyang Technological University, Singapore, from October 2008 to October 2009. From January 2015 to April 2015, she was a visiting scholar at the University of Hong Kong. From March 2017 to August 2017, she was concurrently employed in the department three of Information Science, National Natural Science Foundation of China. She was selected into Shandong Province Taishan Scholars Young Expert Program in 2018. She is currently the associate editor of International Journal of Fuzzy Systems. And she has presided over 3 national Natural Science Foundation of China (NSFC) projects, 1 joint key project sub-project of NSFC, 1 key project of Shandong Province, and more than 10 other provincial and ministerial projects. She has also published more than 50 SCI papers as the first and corresponding author.