no code implementations • 15 Mar 2024 • Peng Jia, Chao Lv, Yushan Li, Yongyang Sun, Shu Niu, Zhuoxiao Wang
In this paper, we introduce a data-driven framework for mitigating dark current noise and bad pixels for CMOS cameras.
no code implementations • 31 Jul 2023 • Yushan Li, Zitong Wang, Jianping He, Cailian Chen, Xinping Guan
More importantly, we amend the noise design by introducing one-lag time dependence, achieving the zero state deviation and the non-zero topology inference error in the asymptotic sense simultaneously.
no code implementations • 7 May 2022 • Jianping He, Yushan Li, Lin Cai, Xinping Guan
Considering the latest inference attacks that enable stealthy and precise attacks into NDSs with observation-based learning, this article focuses on a new security aspect, i. e., how to protect control mechanism secrets from inference attacks, including state information, interaction structure and control laws.
no code implementations • 30 Apr 2022 • Yushan Li, Jianping He, Lin Cai, Xinping Guan
We focus on the local topology inference problem of MRNs under formation control, where an inference robot with limited observation range can manoeuvre among the formation robots.
no code implementations • 4 Jun 2021 • Yushan Li, Jianping He, Xuda Ding, Lin Cai, Xinping Guan
The security of mobile robotic networks (MRNs) has been an active research topic in recent years.
no code implementations • 2 Jun 2021 • Yushan Li, Jianping He, Cailian Chen, Xinping Guan
Along with this line, we analyze the non-asymptotic inference performance of the proposed method by taking the OLS estimator as a reference, covering both asymptotically and marginally stable systems.