26 citations · 54 across the 40 of their papers we have counts for
34 papers · 1 filter
Improving Cooperative Adaptive Cruise Control Robustness to Parametric Uncertainty via Plant Equivalent Controller Realizations
Mischa Huisman, Thomas Arnold, Erjen Lefeber +2
Cooperative Adaptive Cruise Control (CACC) enables vehicle platooning through inter-vehicle communication, improving traffic efficiency and safety. Conventional CACC relies on feed…
Plant Equivalent Controller Realizations for Attack-Resilient Cyber-Physical Systems
Mischa Huisman, Erjen Lefeber, Nathan van de Wouw +1
As cyber-physical systems (CPSs) become more dependent on data and communication networks, their vulnerability to false data injection (FDI) attacks has raised significant concerns…
Data-Driven Sensor Fault Diagnosis with Proven Guarantees using Incrementally Stable Recurrent Neural Networks
Farhad Ghanipoor, Carlos Murguia, Giancarlo Ferrari Trecate +1
Robust Recurrent Neural Networks (R-RENs) are a class of neural networks that have built-in system-theoretic robustness and incremental stability properties. In this manuscript, we…
Model Updating for Nonlinear Systems with Stability Guarantees
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
To improve the predictive capacity of system models in the input-output sense, this paper presents a framework for model updating via learning of modeling uncertainties in locally…
Optimal Controller Realizations against False Data Injections in Cooperative Driving
Mischa Huisman, Carlos Murguia, Erjen Lefeber +1
To enhance the robustness of cooperative driving to cyberattacks, we study a controller-oriented approach to mitigate the effect of a class of False-Data Injection (FDI) attacks. B…
Uncertainty Learning for LTI Systems with Stability Guarantees
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
We present a framework for learning of modeling uncertainties in Linear Time Invariant (LTI) systems. We propose a methodology to extend the dynamics of an LTI (without uncertainty…
Resilient Controller Synthesis Against DoS Attacks for Vehicular Platooning in Spatial Domain
Jian Gong, Carlos Murguia, Anggera Bayuwindra +1
This paper proposes a vehicular platoon control approach under Denial-of-Service (DoS) attacks and external disturbances. DoS attacks increase the service time on the communication…
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…
Robust Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
This paper proposes a nonlinear estimator for the robust reconstruction of process and sensor faults for a class of uncertain nonlinear systems. The proposed fault estimation metho…
Impact Sensitivity Analysis of Cooperative Adaptive Cruise Control Against Resource-Limited Adversaries
Mischa Huisman, Carlos Murguia, Erjen Lefeber +1
Cooperative Adaptive Cruise Control (CACC) is a technology that allows groups of vehicles to form in automated, tightly-coupled platoons. CACC schemes exploit Vehicle-to-Vehicle (V…
Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks
Yankai Lin, Michelle S. Chong, Carlos Murguia
We consider the problem of controller design for linear time-invariant cyber-physical systems (CPSs) controlled via networks. Specifically, we adopt the set-up that a controller ha…
Linear Fault Estimators for Nonlinear Systems: An Ultra-Local Model Design
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
This paper addresses the problem of robust process and sensor fault reconstruction for nonlinear systems. The proposed method augments the system dynamics with an approximated inte…
Privacy-Preserving Anomaly Detection in Stochastic Dynamical Systems: Synthesis of Optimal Gaussian Mechanisms
Haleh Hayati, Carlos Murguia, Nathan van de Wouw
We present a framework for designing distorting mechanisms that allow remotely operating anomaly detectors while preserving privacy. We consider the problem setting in which a remo…
Ultra Local Nonlinear Unknown Input Observers for Robust Fault Reconstruction
Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani +1
In this paper, we present a methodology for actuator and sensor fault estimation in nonlinear systems. The method consists in augmenting the system dynamics with an approximated ul…
Enforcing Safety under Actuator Attacks through Input Filtering
Cédric Escudero, Carlos Murguia, Paolo Massioni +1
Actuator injection attacks pose real threats to all industrial plants controlled through communication networks. In this manuscript, we study the possibility of constraining the co…
Gaussian Mechanisms Against Statistical Inference: Synthesis Tools
Haleh Hayati, Carlos Murguia, Nathan van de Wouw
In this manuscript, we provide a set of tools (in terms of semidefinite programs) to synthesize Gaussian mechanisms to maximize privacy of databases. Information about the database…
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…
Privacy Against Adversarial Classification in Cyber-Physical Systems
Carlos Murguia, Paulo Tabuada
For a class of Cyber-Physical Systems (CPSs), we address the problem of performing computations over the cloud without revealing private information about the structure and operati…
On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach (Extended Preprint)
Carlos Murguia, Iman Shames, Farhad Farokhi. Dragan Nesic +1
We address the problem of maximizing privacy of stochastic dynamical systems whose state information is released through quantized sensor data. In particular, we consider the setti…
Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise
Carlos Murguia, Iman Shames, Farhad Farokhi +1
We study the problem of maximizing privacy of data sets by adding random vectors generated via synchronized chaotic oscillators. In particular, we consider the setup where informat…
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…