no code implementations • 1 Apr 2024 • Christoforos Somarakis, Raman Goyal, Erfaun Noorani, Shantanu Rane
A state-feedback watermarking signal design for the detection of replay attacks in linear systems is proposed.
no code implementations • 28 Dec 2023 • Guangyi Liu, Christoforos Somarakis, Nader Motee
This paper establishes and explores a framework to analyze the risk of cascading failures in a platoon of autonomous vehicles, accounting for communication time-delays and input uncertainty.
no code implementations • 15 Mar 2023 • Guangyi Liu, Vivek Pandey, Christoforos Somarakis, Nader Motee
We develop a framework to assess the risk of cascading failures when a team of agents aims to rendezvous in time in the presence of exogenous noise and communication time-delay.
no code implementations • 13 Sep 2022 • Raman Goyal, Christoforos Somarakis, Erfaun Noorani, Shantanu Rane
This work discusses a novel framework for simultaneous synthesis of optimal watermarking signal and robust controllers in cyber-physical systems to minimize the loss in performance due to added watermarking signal and to maximize the detection rate of the attack.
no code implementations • 29 Dec 2021 • Christoforos Somarakis, Guangyi Liu, Nader Motee
We develop a framework to quantify systemic risk measures in a class of Wide-Area-Control (WAC) laws in power networks in the presence of noisy and time-delayed sensory data.
no code implementations • 29 Dec 2021 • Guangyi Liu, Christoforos Somarakis, Nader Motee
We develop a framework to assess the risk of cascading collisions in a platoon of vehicles in the presence of exogenous noise and communication time-delay.
no code implementations • 5 Sep 2021 • Guangyi Liu, Christoforos Somarakis, Nader Motee
We develop a systemic risk framework to explore cascading systemic failures in networked control systems.
no code implementations • 22 Mar 2020 • Ion Matei, Johan de Kleer, Christoforos Somarakis, Rahul Rai, John S. Baras
We describe how we can build models out of the p-H constructs and how we can train them.