activity
20202023
most citedInterpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network

3 citations · 5 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SY2023

On Decidability of Existence of Fortified Supervisors Against Covert Actuator Attackers

Ruochen Tai, Liyong Lin, Rong Su

This work investigates the problem of synthesizing fortified supervisors against covert actuator attackers. For a non-resilient supervisor S, i.e., there exists at least a covert a…

eess.SY2022

Distributed Observers-based Cooperative Platooning Tracking Control and Intermittent Optimization for Connected Automated Vehicles with Unknown Jerk Dynamics

Bohui Wang, Rong Su, Yun Lu +3

The unknown sharp changes of vehicle acceleration rates, also called the unknown jerk dynamics, may significantly affect the driving performance of the leader vehicle in a platoon,…

eess.SY2022★ 2 cited

Supervisor Obfuscation Against Covert Actuator Attackers

Ruochen Tai, Liyong Lin, Rong Su

This work investigates the problem of synthesizing obfuscated supervisors against covert actuator attackers. For a non-resilient supervisor S, for which there exist some covert act…

cs.LG2022★ 3 cited

Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network

Gang Chen, Yu Lu, Rong Su +1

Machine learning-based methods have achieved successful applications in machinery fault diagnosis. However, the main limitation that exists for these methods is that they operate a…

eess.SY2022

Synthesis of the Supremal Covert Attacker Against Unknown Supervisors by Using Observations

Ruochen Tai, Liyong Lin, Yuting Zhu +1

In this paper, we consider the problem of synthesizing the supremal covert damage-reachable attacker, in the setup where the model of the supervisor is unknown to the adversary but…

eess.SY2022

Identification of System Vulnerability under a Smart Sensor Attack via Attack Model Reduction

Ruochen Tai, Liyong Lin, Rong Su

In this work, we investigate how to make use of model reduction techniques to identify the vulnerability of a closed-loop system, consisting of a plant and a supervisor, that might…