4 citations · 12 across the 10 of their papers we have counts for
11 papers
Attack-Resilient Design for Connected and Automated Vehicles
Tianci Yang, Carlos Murguia, Dragan Nesic +1
By sharing local sensor information via Vehicle-to-Vehicle (V2V) wireless communication networks, Cooperative Adaptive Cruise Control (CACC) is a technology that enables Connected…
Risk Assessment for Connected Vehicles under Stealthy Attacks on Vehicle-to-Vehicle Networks
Tianci Yang, Carlos Murguia, Chen Lv
Cooperative Adaptive Cruise Control (CACC) is an autonomous vehicle-following technology that allows groups of vehicles on the highway to form in tightly-coupled platoons. This is…
A Robust CACC Scheme Against Cyberattacks Via Multiple Vehicle-to-Vehicle Networks
Tianci Yang, Carlos Murguia, Dragan Nešić +1
Cooperative Adaptive Cruise Control (CACC) is a vehicular technology that allows groups of vehicles on the highway to form in closely-coupled automated platoons to increase highway…
On Joint Reconstruction of State and Input-Output Injection Attacks for Nonlinear Systems
Tianci Yang, Carlos Murguia, Chen Lv +2
We address the problem of robust state reconstruction for discrete-time nonlinear systems when the actuators and sensors are injected with (potentially unbounded) attack signals. E…
A Secure Sensor Fusion Framework for Connected and Automated Vehicles under Sensor Attacks
Tianci Yang, Chen Lv
By using various sensors to measure the surroundings and sharing local sensor information with the surrounding vehicles through wireless networks, connected and automated vehicles…
Secure Estimation and Attack Isolation for Connected and Automated Driving in the Presence of Malicious Vehicles
Tianci Yang, Chen Lv
Connected and Automated Vehicles (CAVs) rely on the correctness of position and other vehicle kinematics information to fulfill various driving tasks such as vehicle following, lan…
An Unknown Input Multi-Observer Approach for Estimation and Control under Adversarial Attacks
Tianci Yang, Carlos Murguia, Margreta Kuijper +1
We address the problem of state estimation, attack isolation, and control of discrete-time linear time-invariant systems under (potentially unbounded) actuator and sensor false dat…
A Multi-Observer Based Estimation Framework for Nonlinear Systems under Sensor Attacks
Tianci Yang, Carlos Murguia, Margreta Kuijper +1
We address the problem of state estimation and attack isolation for general discrete-time nonlinear systems when sensors are corrupted by (potentially unbounded) attack signals. Fo…
An Unknown Input Multi-Observer Approach for Estimation, Attack Isolation, and Control of LTI Systems under Actuator Attacks
Tianci Yang, Carlos Murguia, Margreta Kuijper +1
We address the problem of state estimation, attack isolation, and control for discrete-time Linear Time Invariant (LTI) systems under (potentially unbounded) actuator false data in…
A Multi-Observer Approach for Attack Detection and Isolation of Discrete-Time Nonlinear Systems
Tianci Yang, Carlos Murguia, Margreta Kuijper +1
We address the problem of attack detection and isolation for a class of discrete-time nonlinear systems under (potentially unbounded) sensor attacks and measurement noise. We consi…
A Robust Circle-criterion Observer-based Estimator for Discrete-time Nonlinear Systems in the Presence of Sensor Attacks and Measurement Noise
Tianci Yang, Carlos Murguia, Margreta Kuijper +1
We address the problem of robust state estimation of a class of discrete-time nonlinear systems with positive-slope nonlinearities when the sensors are corrupted by (potentially un…