activity
20172026
most citedTuning Windowed Chi-Squared Detectors for Sensor Attacks

26 citations · 54 across the 40 of their papers we have counts for

collaborators

46 papers

eess.SY2026

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…

eess.SY2025

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…

eess.SY2025

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…

math.NA2025

Convergence of a continuous Galerkin method for the Biot-Allard poroelasticity system

Jakob S. Stokke, Markus Bause, Florin A. Radu

We study a space-time finite element method for a system of poromechanics with memory effects that are modeled by a convolution integral. In the literature, the system is referred…

cs.CR2024

Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning

Haleh Hayati, Carlos Murguia, Nathan van de Wouw

Federated learning (FL) has emerged as a method to preserve privacy in collaborative distributed learning. In FL, clients train AI models directly on their devices rather than shar…

eess.SY2024

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…

eess.SY2024

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…

cs.CR2024

Privacy in Cloud Computing through Immersion-based Coding

Haleh Hayati, Nathan van de Wouw, Carlos Murguia

Cloud computing enables users to process and store data remotely on high-performance computers and servers by sharing data over the Internet. However, transferring data to clouds c…

eess.SY2023

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…

eess.SY2023

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…

eess.SY2023

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…

eess.SY2023

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…

math.OC2023

Secondary Controller Design for the Safety of Nonlinear Systems via Sum-of-Squares Programming

Yankai Lin, Michelle S. Chong, Carlos Murguia

We consider the problem of ensuring the safety of nonlinear control systems under adversarial signals. Using Lyapunov based reachability analysis, we first give sufficient conditio…

eess.SY2023

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…

cs.CR2023

Infinite Horizon Privacy in Networked Control Systems: Utility/Privacy Tradeoffs and Design Tools

Haleh Hayati, Nathan van de Wouw, Carlos Murguia

We address the problem of synthesizing distorting mechanisms that maximize infinite horizon privacy for Networked Control Systems (NCSs). We consider stochastic LTI systems where i…

eess.SY2022★ 2 cited

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…

cs.CR2022

Immersion and Invariance-based Coding for Privacy in Remote Anomaly Detection

Haleh Hayati, Nathan van de Wouw, Carlos Murguia

We present a framework for the design of coding mechanisms that allow remotely operating anomaly detectors in a privacy-preserving manner. We consider the following problem setup.…

eess.SY2022

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…

eess.SY2022★ 2 cited

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…

eess.SY2022

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…

cs.LG2022

Privacy-Preserving Federated Learning via System Immersion and Random Matrix Encryption

Haleh Hayati, Carlos Murguia, Nathan van de Wouw

Federated learning (FL) has emerged as a privacy solution for collaborative distributed learning where clients train AI models directly on their devices instead of sharing their da…

eess.SY2021

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…

eess.SY2021

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…

eess.SY2021★ 2 cited

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…