Search Results for author: Michelle S. Chong

Found 7 papers, 2 papers with code

Data-Driven Identification of Attack-free Sensors in Networked Control Systems

no code implementations8 Dec 2023 Sribalaji C. Anand, Michelle S. Chong, André M. H. Teixeira

Then, a data-driven algorithm is proposed to identify the attack-free sensors when the plant is controlled online.

Secure Set-Based State Estimation for Linear Systems under Adversarial Attacks on Sensors

1 code implementation10 Sep 2023 Muhammad Umar B. Niazi, Michelle S. Chong, Amr Alanwar, Karl H. Johansson

When a strategic adversary can attack multiple sensors of a system and freely choose a different set of sensors at different times, how can we ensure that the state estimate remains uncorrupted by the attacker?

Safety monitoring under stealthy sensor injection attacks using reachable sets

no code implementations24 Jul 2023 Cédric Escudero, Michelle S. Chong, Paolo Massioni, Eric Zamaï

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.

Plug-and-Play Secondary Control for Safety of LTI Systems under Attacks

no code implementations1 Dec 2022 Yankai Lin, Michelle S. Chong, Carlos Murguia

To further ensure the safety of the states of the system, we choose a subset of sensors that can be locally secured and made free of attacks.

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

1 code implementation15 Nov 2022 Muhammad Umar B. Niazi, Amr Alanwar, Michelle S. Chong, Karl Henrik Johansson

This paper considers the problem of set-based state estimation for linear time-invariant (LTI) systems under time-varying sensor attacks.

Computational Efficiency

Distributed Periodic Event-triggered Control of Nonlinear Multi-Agent Systems

no code implementations13 Feb 2022 Koen J. A. Scheres, Victor S. Dolk, Michelle S. Chong, Romain Postoyan, W. P. Maurice H. Heemels

We present a general emulation-based framework to address the distributed control of multi-agent systems over packet-based networks.

Event-Triggered State Estimation with Multiple Noisy Sensor Nodes

no code implementations10 Aug 2021 Koen J. A. Scheres, Michelle S. Chong, Romain Postoyan, W. P. Maurice H. Heemels

We assume that the system has multiple sensor nodes, affected by measurement noise, which can transmit at discrete (non-equidistant) points in time.

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