activity
20162026
most citedVulnerability of linear systems against sensor attacks--a system's security index

4 citations · 9 across the 11 of their papers we have counts for

collaborators

12 papers

math.OC2026

Certificate-based Synthesis of Coordinated Droop Control for Heterogeneous Radial Distribution Networks

Georgios Pantazis, Michelle Chong

Voltage certificates for droop-controlled radial distribution networks are often constructed from worst-case quantities. In heterogeneous radial networks, this approach can hide wh…

math.OC2026

Data-driven Reachable Set Estimation with Tunable Adversarial and Wasserstein Distributional Guarantees

Georgios Pantazis, Michelle S. Chong

We study finite horizon reachable set estimation for unknown discrete-time dynamical systems using only sampled state trajectories. Rather than treating scenario optimization as a…

eess.SY2023

Safety monitoring under stealthy sensor injection attacks using reachable sets

Cédric Escudero, Michelle S. Chong, Paolo Massioni +1

Stealthy sensor injection attacks are serious threats for industrial plants as they can compromise the plant's integrity without being detected by traditional fault detectors. In t…

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.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…

eess.SY2022

Resilient Set-based State Estimation for Linear Time-Invariant Systems Using Zonotopes

Muhammad Umar B. Niazi, Amr Alanwar, Michelle S. Chong +1

This paper considers the problem of set-based state estimation for linear time-invariant (LTI) systems under time-varying sensor attacks. Provided that the LTI system is stable and…

math.OC2022

Controller confidentiality for nonlinear systems under sensor attacks

Michelle S. Chong

Controller confidentiality under sensor attacks refers to whether the internal states of the controller can be estimated when the adversary knows the model of the plant and control…

math.OC2020

A secure state estimation algorithm for nonlinear systems under sensor attacks

Michelle S. Chong, Henrik Sandberg, Joao P. Hespanha

The state estimation of continuous-time nonlinear systems in which a subset of sensor outputs can be maliciously controlled through injecting a potentially unbounded additive signa…

math.OC2020

Adaptive voltage regulation of an inverter-based power distribution network with a class of droop controllers

Michelle S. Chong, Henrik Sandberg

The voltage received by each customer connected to a power distribution line with local controllers (inverters) is regulated to be within a desired margin through a class of slope-…

math.OC2018★ 1 cited

Distributed L1-state-and-fault estimation for Multi-agent systems

Kazumune Hashimoto, Michelle Chong, Dimos V. Dimarogonas

In this paper, we propose a distributed state-and-fault estimation scheme for multi-agent systems. The proposed estimator is based on an -norm optimization problem, which i…

eess.SP2017★ 2 cited

Linear system security -- detection and correction of adversarial attacks in the noise-free case

Zhanghan Tang, Margreta Kuijper, Michelle Chong +2

We address the problem of attack detection and attack correction for multi-output discrete-time linear time-invariant systems under sensor attack. More specifically, we focus on th…

eess.SY2016★ 4 cited

Vulnerability of linear systems against sensor attacks--a system's security index

Michelle S. Chong, Margreta Kuijper

The `security index' of a discrete-time LTI system under sensor attacks is introduced as a quantitative measure on the security of an observable system. We derive ideas from error…