1 citations · 1 across the 6 of their papers we have counts for
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Reinforcement Learning-based Optimal Control and Software Rejuvenation for Safe and Efficient UAV Navigation
Angela Chen, Konstantinos Mitsopoulos, Raffaele Romagnoli
Unmanned autonomous vehicles (UAVs) rely on effective path planning and tracking control to accomplish complex tasks in various domains. Reinforcement Learning (RL) methods are bec…
Reducing Attack Opportunities Through Decentralized Event-Triggered Control
Paul Griffioen, Raffaele Romagnoli, Bruce H. Krogh +1
Decentralized control systems are widely used in a number of situations and applications. In order for these systems to function properly and achieve their desired goals, informati…
Exploring the consequences of cyber attacks on Powertrain Cyber Physical Systems
Dario Stabili, Raffaele Romagnoli, Mirco Marchetti +2
This paper proposes a novel approach for the study of cyber-attacks against the powertrain of a generic vehicle. The proposed model is composed by a a generic Internal Combustion e…
Physical Watermarking for Replay Attack Detection in Continuous-time Systems
Bahram Yaghooti, Raffaele Romagnoli, Bruno Sinopoli
Physical watermarking is a well established technique for replay attack detection in cyber-physical systems (CPSs). Most of the watermarking methods proposed in the literature are…
Design of Software Rejuvenation for CPS Security Using Invariant Sets
Raffaele Romagnoli, Bruce H. Krogh, Bruno Sinopoli
Software rejuvenation has been proposed as a strategy to protect cyber-physical systems (CSPs) against unanticipated and undetectable cyber attacks. The basic idea is to refresh th…
Software Rejuvenation for Secure Tracking Control
Raffaele Romagnoli, Bruce H. Krogh, Dionisio de Niz +1
Software rejuvenation protects cyber-physical systems (CSPs) against cyber attacks on the run-time code by periodically refreshing the system with an uncorrupted software image. Th…