Distributed Platooning Control of Automated Vehicles Subject to Replay Attacks Based on Proportional Integral Observers

This article investigates the detection and defense method of time‐varying formation for unmanned aerial vehicles (UAVs) against external disturbance and false data injection attacks (FDIAs). First, to detection attacks, a distributed attack identification filter is constructed for each UAV. Second, two distributed extended state observers are designed to separate and estimate external disturbances and FDIAs. Third, the distributed time‐varying formation tracking protocol and defense strategy for attacks is designed by utilizing the estimated information. The formation system is shown to asymptotically track the desired formation and trajectory and meanwhile reject the disturbance and attacks if the expected formation satisfies the feasible condition by stability analysis. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed approach.

Section: Discussionmentioning

confidence: 99%

Detection and defense of time‐varying formation for unmanned aerial vehicles against false data injection attacks and external disturbance

Wang,

Liu

2023

“…What's more, the obtained results can applied to other engineering issues. 2,46 Remark 7. In Theorems 1,3, and 5, different conditions are obtained in different norm senses.…”

Section: Fts and Ec In The Sense Of Vector 2-norm And ∞-Normmentioning

confidence: 99%

Fixed‐time synchronization and energy cost estimation of delayed coupled neural networks

Xu,

Zhu,

Luo

et al. 2024

This article concentrates on the fixed‐time synchronization (FTS) and energy cost (EC) problems of delayed coupled neural networks (NNs). A switching controller is proposed and some sufficient conditions are advanced to ensure FTS of delayed coupled NNs based on the comparison theorem. Following that, the required EC is estimated during the control process. The main results of FTS and EC for considered NNs are obtained based on the Lyapunov functions in the sense of vector 1‐norm, 2‐norm, and ‐norm, respectively. Under the same controller parameters, this article shows that the minimum estimation of settling time and EC are sometimes not in one norm sense. Finally, numerical examples are given to show the effectiveness of theoretical results.

“…As a consequence, much effort has been devoted to investigating distributed control for MASs 14‐16 . For instance, there have been plenty of research fruits available in the literature regarding distributed control for MASs with linear dynamics 17‐20 .…”

Section: Introductionmentioning

confidence: 99%

“…13 As a consequence, much effort has been devoted to investigating distributed control for MASs. [14][15][16] For instance, there have been plenty of research fruits available in the literature regarding distributed control for MASs with linear dynamics. [17][18][19][20] However, these results are no longer applicable when the characteristics of the controlled systems show high-order, nonlinear and complex behaviors.…”

Section: Introductionmentioning

confidence: 99%

Encryption–decryption‐based event‐triggered consensus control for nonlinear MASs under DoS attacks

Zhang,

Ma,

Liu

2023

In this article, the consensus tracking problem is discussed for a class of discrete‐time nonlinear multi‐agent systems (MASs) subject to denial‐of‐service (DoS) attacks. The individual agents interact with each other via communication network whose topology is assumed to be time‐varying and strongly connected. Two techniques are employed to deal with the network‐induced complexities. On one hand, an event‐triggering scheme is adopted to regulate the data transmission among agents with the purpose of making full utilization of the limited communication resources; and on the other hand, an encryption–decryption mechanism is designed with the aim to provide compensation, thereby mitigating the DoS attack effects. It is the objective of the addressed problem to develop a distributed model‐free adaptive control law to enforce the MASs achieve desirable consensus performance. By using a specific projection algorithm in combination with a dynamic linearization method, the desired control protocol is formulated explicitly, whose effectiveness and applicability are demonstrated via an illustrative numerical example.