This paper deals with the problem of cooperative target tracking control for multiple
networked unmanned surface vehicles under data falsification attacks. First, a data …

This paper is concerned with the cooperative target tracking of under-actuated unmanned
surface vehicles (USVs) with event-triggered communications subject to denial-of-service …

In this paper, the prescribed-time cooperative resilient fuzzy tracking control problem is
addressed for thirdorder nonlinear cyber-physical vehicle systems (CPVS) under denial-of …

This article investigates the problem of event-triggered secure path tracking control of
autonomous ground vehicles (AGVs) under deception attacks. To relieve the burden of the …

This paper develops a cooperative federated reinforcement learning (RL) strategy that
enables two unmanned aerial vehicles (UAVs) to cooperate in learning and predicting the …

This paper is concerned with the networked cooperative path following (CPF) problem for
multiple autonomous surface vehicles (ASVs) subject to simultaneous cyber and physical …

This paper addresses the secure and safe distributed cooperative control problem of
multiple platoons of automated vehicles under unknown data falsification attacks on driving …

False data injection (FDI) attacks on sensors and actuators are adverse in multi-agent
systems (MASs), and they degrade system performance and even cause instability by …

Aiming at the six-rotor unmanned aerial vehicles subjected to false data injection attacks, an
event-triggered-based distributed intelligent learning control strategy is proposed in this …

With the expanding applications of multiple unmanned systems in various fields, more and
more research attention has been paid to their security. The aim is to enhance the anti …