Distributed model predictive control (DMPC) schemes have become a popular choice for
networked control problems. Under this approach, local controllers use a model to predict its …

With the introduction of external connectivity to modern vehicles, both academic and industry
security practitioners addressed the issues related to external communication interfaces …

This paper is concerned with the set-membership filtering issue for a class of artificial neural
networks subject to mixed attacks. The encoding–decoding communication mechanism is …

In this paper, we propose and analyze an attack detection scheme for securing the physical
layer of a networked control system (NCS) with a wireless sensor network against attacks …

This article investigates the security issue for multiagent systems (MASs). Due to the effect of
physical faults and cyberattacks, MASs are prone to anomalies. To meet these challenges …

This paper investigates the bipartite synchronization problem of cooperative-antagonistic
neural networks (CANNs) that suffer from hybrid attacks, ie, denial-of-service (DoS) attacks …

This paper proposes a novel approach for the study of cyber-attacks against the powertrain
of a generic vehicle. The proposed model is composed of a generic Internal Combustion …

The main objective of the thesis is to effectively detect and isolate faults and detect cyber-
attacks and isolate faults from cyber-attacks for UAVs. In our first result, we leverage SVMs …

Abstract An Industrial Control System (ICS) is used to monitor and control industrial
processes and critical in frastructure, and is therefore crucial to modern society. This makes …