|                                                             | Academy of Mathematics and Systems Science, CAS
 Colloquia & Seminars
 
 
 |                                                              | Speaker: | 任肖强 教授,上海大学 
 |                          | Inviter: |  |                          | Title: 
 | Resilient Information              Fusion under Sparse Attack |                          | Time & Venue: 
 | 2021.12.16 14:30-15:00              腾讯会议:620335749 |                          | Abstract: 
 | In this talk, I will be presenting our recent work about detection                and estimation in multi-sensor settings, with a caveat that an unknown                subset of the
 sensors is compromised by an adversary, whose measurements can be                manipulated
 arbitrarily. In particular, an algorithm achieving the best trade-off                between
 security and efficiency for detection, a probabilistic performance                metric and an
 optimal estimator for static state estimation will be talking about.
 个人简介:Xiaoqiang Ren is a professor at the School of Mechatronic Engineering
 and Automation, Shanghai University, China. He received the B.E.                degree in
 Automation from Zhejiang University, Hangzhou, China, in 2012 and                the Ph.D.
 degree in control and dynamic systems from Hong Kong University                of Science and
 Technology in 2016. Prior to his current position, he was a postdoctoral
 researcher in the Hong Kong University of Science and Technology                in 2016,
 Nanyang Technological University from 2016 to 2018, and KTH Royal                Institute of
 Technology from 2018 to 2019. His research interests include security                of
 cyber-physical systems, sequential decision, and networked estimation                and control.
 
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