Attack resilient control for vehicle platoon system with full states constraint under actuator faulty scenario

Zhou, Zepeng; Zhu, Fanglai; Xu, Dazhuan; Guo, Shenghui; Zhao, Younan

doi:10.1016/j.amc.2021.126874

Cited by 15 publications

(18 citation statements)

References 32 publications

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“…Remark 2. Differing from the FDI attacks estimation observers given by Negash et al (2017), Pasqualetti et al (2012), and Zhou et al (2022), the observer (10) is not only designed for FDI attacks but also the unmeasurable velocity. Then, a controller without velocity information will be proposed in the next section.…”

Section: Fao Designmentioning

confidence: 99%

“…Broadly speaking, typical cyber-attack manners can be roughly categorized into two kinds (Gu et al, 2021): one is the repressive attack to destroy the network connectivity or data availability, for example, denial of service (DoS) attacks (Biron et al, 2018; Huang and Karimi, 2021). The other one is the deception attack for the purpose of corrupting the factual information, such as false data injection (FDI) attacks (Gu et al, 2021; Jin and Haddad, 2020; Liu et al, 2021; Negash et al, 2017; Pasqualetti et al, 2012; Yang et al, 2022; Zhou et al, 2022) and replay attacks (Ye et al, 2019). Concerning the DoS attack, a non-fragile H ∞ control strategy is proposed for CACC systems in Huang and Karimi (2021), where the DoS attack is modeled as the packet loss with a sequence of binary random variables.…”

Section: Introductionmentioning

confidence: 99%

“…Sensor and actuator attacks are considered in Yang et al (2022), and a resilient consensus control scheme for MAS is proposed. In Zhou et al (2022), a resilient control protocol is designed for vehicle platoon systems with FDI attacks. Adaptive consensus control protocols are presented in Jin and Haddad (2020) for MAS with sensor and actuator attacks.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy adaptive observer–based resilient formation control for heterogeneous multiple unmanned aerial vehicles with false data injection attacks and prescribed performance

Han

Jiang

2022

Transactions of the Institute of Measurement and Control

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This paper addresses the resilient formation control problem for heterogeneous multiple unmanned aerial vehicles (multi-UAV) under false data injection (FDI) attacks and prescribed performance constraints. The case of both actuator and sensor attacks is considered simultaneously, and the multi-UAV can exchange the information through a directed communication network. A fuzzy adaptive observer (FAO) is first proposed to estimate the FDI attacks and the unmeasurable velocity information for each UAV. In order to transform the formation control of heterogeneous multi-UAV into a trajectory tracking control problem of individual UAVs, a bank of distributed estimators is designed to achieve the leader’s states by only using local information among neighboring UAVs. Then, by incorporating a novel tracking error transform method and fractional-order sliding mode control technique, a resilient prescribed performance tracking controller without velocity measurements is constructed. Furthermore, it is proved that all signals of the closed-loop formation control systems are uniformly ultimately bounded (UUB) stable under FDI attacks. Finally, the simulation results are given to verify the effectiveness and superiority of the proposed control strategy.

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Section: Fao Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fuzzy adaptive observer–based resilient formation control for heterogeneous multiple unmanned aerial vehicles with false data injection attacks and prescribed performance

Han

Jiang

2022

Transactions of the Institute of Measurement and Control

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“…Although there are so many problems with the transmission over the network, one of the problems that affect the system most is the network attack. There are two main types of attacks: denial‐of‐service (DoS) attacks and false data injection (FDI) attacks 7,8 . Research on DoS attacks has been studied for many years 9‐16 .…”

Section: Introductionmentioning

confidence: 99%

“…There are two main types of attacks: denial-of-service (DoS) attacks and false data injection (FDI) attacks. 7,8 Research on DoS attacks has been studied for many years. 9-16 DoS attacks are usually handled in three ways: detection attacks, resistance attacks, and compensation attacks.…”

mentioning

confidence: 99%

Dynamic event‐triggered model‐free adaptive security tracking control for constrained subway train system

Zhu

Che

2022

Intl J Robust & Nonlinear

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In this article, the dynamic event-triggered model-free adaptive security tracking control problem of the subway system with speed and traction/braking force constraints under aperiodic denial-of-service (DoS) attacks is studied. The complex subway train system is transformed into a linearization data model by using the dynamic linearization technique. For the subway system, both speed and traction/braking forces need to be restrained to ensure the safety of the subway equipment. In addition, the dynamic event-triggered mechanism is designed to reduce communication frequency and prolong the hardware life cycle. At the same time, considering aperiodic DoS attacks in the network channel, the security tracking control problem is guaranteed. In the simulation, the algorithm is applied to the subway train system, and the effectiveness of this algorithm is verified with a comparison. K E Y W O R D Saperiodic DoS attacks, constrained subway train system, dynamic event-triggered mechanism, model-free adaptive control INTRODUCTIONWith the emergence of technologies in the field of the network, such as the big data processing technology and the cloud computing technology, it further promotes the development of cyber-physical systems (CPSs). 1,2 The system uses the unlimited data and information resources of the network system to break through the limitations of the physical resources. The intelligent transportation system is one kind of CPSs, 3 among which subway train system has been widely concerned.Compared with the ordinary train, the subway train control may have a series of new challenges, such as network attacks and excessive data transmissions. Attacks on the network may affect the stability of the train operation and even endanger passengers safety. A large amount of data will be generated during the train operation, which leads to extremely high calculation costs. All of the above issues need to be thoroughly studied and discussed.Considering that data generated by trains may encounter many problems when transmitted over network channels, such as attacks, packet loss and so on. [4][5][6] Although there are so many problems with the transmission over the network, one of the problems that affect the system most is the network attack. There are two main types of attacks: denial-of-service (DoS) attacks and false data injection (FDI) attacks. 7,8 Research on DoS attacks has been studied for many years. 9-16 DoS attacks are usually handled in three ways: detection attacks, resistance attacks, and compensation attacks. A model was designed to evaluate the effect of DoS attacks, 9 which can not only evaluate individual attacks, but also can rank the effects of attacks. An active security attack strategy for the two-channel attacks was designed by taking full advantage of Abbreviations: DET-MFASTC, dynamic event-triggered model-free adaptive security tracking control; DoS, denial-of-service; PPD, pseudo-partial derivative.

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Event‐triggered model‐free adaptive fractional order sliding mode I/O constrained control for a class of nonlinear systems

Zhang

Jiang

et al. 2023

Intl J Robust & Nonlinear

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To tackle the trajectory tracking issue of nonlinear systems with unknown dynamics and input/output (I/O) constraints, a novel model-free adaptive constrained control (MFACC) scheme is first proposed with improvement of tracking precision and reduction of computation cost. The system model is processed via the compact form dynamic linearization approach. Then, an event-triggered observer-based pseudo partial derivative (PPD) estimation algorithm is proposed to implement the data-driven modeling information, which relieves the computation burden of modeling. Relying on the reconfigured data model, an improved prescribed performance control (PPC) approach with asymmetric predefined boundaries and the fractional order sliding mode control strategy are both exploited and integrated with MFACC for high-precision and robustness assurance. Moreover, a novel prescribed-boundary-based event-triggered mechanism is proposed to implement MFACC scheme so that the remarkable balance between tracking precision and computation cost can be maintained, and the I/O constraints can be handled via the proposed PPD-based anti-windup compensator and PPC technique. Finally, the stability analysis and contrast simulation are pursued which verifies the validity of proposed scheme.

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Attack resilient control for vehicle platoon system with full states constraint under actuator faulty scenario

Cited by 15 publications

References 32 publications

Fuzzy adaptive observer–based resilient formation control for heterogeneous multiple unmanned aerial vehicles with false data injection attacks and prescribed performance

Fuzzy adaptive observer–based resilient formation control for heterogeneous multiple unmanned aerial vehicles with false data injection attacks and prescribed performance

Dynamic event‐triggered model‐free adaptive security tracking control for constrained subway train system

Event‐triggered model‐free adaptive fractional order sliding mode I/O constrained control for a class of nonlinear systems

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