activity
20172024
most citedBinary Hypothesis Testing with Byzantine Sensors: Fundamental Trade-off Between Security and Efficiency

25 citations · 34 across the 12 of their papers we have counts for

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10 papers · 1 filter

eess.SY2024★ 2 cited

Learning-Based Efficient Approximation of Data-Enabled Predictive Control

Yihan Zhou, Yiwen Lu, Zishuo Li +2

Data-Enabled Predictive Control (DeePC) bypasses the need for system identification by directly leveraging raw data to formulate optimal control policies. However, the size of the…

eess.SY2023

Resilient Distributed Parameter Estimation in Sensor Networks

Jiaqi Yan, Kuo Li, Hideaki Ishii

In this paper, we study the problem of parameter estimation in a sensor network, where the measurements and updates of some sensors might be arbitrarily manipulated by adversaries.…

eess.SY2023

Distributed Parameter Estimation under Gaussian Observation Noises

Jiaqi Yan, Hideaki Ishii

In this paper, we consider the problem of distributed parameter estimation in sensor networks. Each sensor makes successive observations of an unknown -dimensional parameter, wh…

eess.SY2022

Event-Based Control for Synchronization of Stochastic Linear Systems with Application to Distributed Estimation

Jiaqi Yan, Yilin Mo, Hideaki Ishii

This paper studies the synchronization of stochastic linear systems which are subject to a general class of noises, in the sense that the noises are bounded in covariance but might…

eess.SY2022

A Framework for Distributed Estimation with Reduced Communication via Event-Based Strategies

Jiaqi Yan, Yilin Mo, Hideaki Ishii

This paper considers the problem of distributed estimation in a sensor network, where multiple sensors are deployed to infer the state of a linear time-invariant (LTI) Gaussian sys…

eess.SY2021★ 1 cited

A Distributed Implementation of Steady-State Kalman Filter

Jiaqi Yan, Xu Yang, Yilin Mo +1

This paper studies the distributed state estimation in sensor network, where sensors are deployed to infer the -dimensional state of a linear time-invariant (LTI) Gaussian s…

eess.SY2020★ 2 cited

Resilient Multi-Dimensional Consensus in Adversarial Environment

Jiaqi Yan, Xiuxian Li, Yilin Mo +1

This paper considers the multi-dimensional consensus in networked systems, where some of the agents might be misbehaving (or faulty). Despite the influence of these misbehaviors, t…

eess.SY2019

An Online Approach to Physical Watermark Design

Hanxiao Liu, Yilin Mo, Jiaqi Yan +2

This paper considers the problem of designing physical watermark signals in order to optimally detect possible replay attack in a linear time-invariant system, under the assumption…

eess.SY2019★ 4 cited

A "Safe Kernel" Approach for Resilient Multi-Dimensional Consensus

Jiaqi Yan, Yilin Mo, Xiuxian Li +1

This paper considers the resilient multi-dimensional consensus problem in networked systems, where some of the agents might be malicious (or faulty). We propose a multi-dimensional…

eess.SY2018

An On-line Design of Physical Watermarks

Hanxiao Liu, Jiaqi Yan, Yilin Mo +1

This paper considers the problem to design physical watermark signals to protect a control system against replay attacks. We first define the replay attack model, where an adversar…