no code implementations • 10 Dec 2023 • Yifan Sun, Jianquan Lu, Daniel W. C. Ho, Lulu Li
In this paper, we develop a new denial-of-service (DoS) estimator, enabling defenders to identify duration and frequency parameters of any DoS attacker, except for three edge cases, exclusively using real-time data.
no code implementations • 4 Jun 2023 • X. Jin, Daniel W. C. Ho, Y. Tang
The multi-agent system has been a hot topic in the past few decades owing to its lower cost, higher robustness, and higher flexibility.
no code implementations • 30 Dec 2022 • Bo Chen, Pindi Weng, Daniel W. C. Ho, Li Yu
This paper is concerned with the problem of secure multi-sensors fusion estimation for cyber-physical systems, where sensor measurements may be tampered with by false data injection (FDI) attacks.
no code implementations • 1 Jun 2022 • Yuchen Zhang, Bo Chen, Li Yu, Daniel W. C. Ho
By merging these subsystem-level stability conditions and the optimization-based estimator gain design, the distributed, stable and optimal estimators are proposed.
no code implementations • 29 Jun 2021 • Shiyong Zhu, Jianquan Lu, Daniel W. C. Ho, Jinde Cao
Further, two minimum realization strategies are considered to induce an SOG from an arbitrarily given digraph by marking and controlling the minimal vertices, respectively.
no code implementations • 21 Apr 2021 • Zhan Yu, Daniel W. C. Ho, Ding-Xuan Zhou
Regularization schemes for regression have been widely studied in learning theory and inverse problems.
no code implementations • 16 Jun 2020 • Zhan Yu, Daniel W. C. Ho
The main contribution of the paper is to present a novel multi-penalty regularization algorithm to capture more features of distribution regression and derive optimal learning rates for the algorithm.