Distributed Model-Free Adaptive Control for MIMO Nonlinear Multiagent Systems Under Deception Attacks

Li, Fanghui; Hou, Zhongsheng

doi:10.1109/tsmc.2022.3211871

Cited by 28 publications

(4 citation statements)

References 37 publications

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“…In this case, deception attacks are covert and difficult to be detected. As discussed in References 27 and 28, typical deception attack strategies can be divided into data modification, false data injection, and data replacement, where the existing types of the deception attack data include the additive deception data, the multiplicative deception data, and the replacement deception data and so forth. To be specific, the additive deception data are applied to inject extra deception data to the original measurement/control signal of the MAS, the multiplicative deception data can zoom in or out on the original data by introducing a scaling rate, and the replacement deception attack strategy is used to directly replace the original signal with a new signal designed by the attacker.…”

Section: Introductionmentioning

confidence: 99%

Induced attack on formation control of multiagent systems with prescribed reference trajectories

Li,

Wang,

et al. 2024

Intl J Robust & Nonlinear

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The induced attack on the formation control of multiagent systems is investigated from the perspective of the attacker, where a new induced attack strategy is proposed to drive the whole formation of multiagent systems to the prescribed reference trajectory. Compared with denial‐of‐service attacks and deception attacks, a desired formation reference trajectory with the stable formation structure is reached by the induced attack instead of disrupting the whole formation. First, the induced attack signal is produced by designing an attack generation exosystem, whose dynamics can be described by the regulated attack matrix and can be adjusted to generate the prescribed reference trajectory. Then, based on the local state information, the formation vector, and the induced attack signal among partial agents, a new distributed induced attack formation protocol is proposed, which is composed of the nominal formation term and the induced attack term. Meanwhile, the induced attack design criterion is proposed by utilizing a robust scheme, where the robust performance bound can be configured by two performance regulating parameters and can be used to design the appropriate regulated attack matrix. Furthermore, by establishing the projection of the induced attack signal onto the formation agreement subspace, an explicit expression of the prescribed reference trajectory is determined, which depicts the movement trajectory of the entire formation of the multiagent system under the induced attack. Finally, a simulation is provided to vindicate the effectiveness of theoretical results.

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Section: Introductionmentioning

confidence: 99%

Induced attack on formation control of multiagent systems with prescribed reference trajectories

Li,

Wang,

et al. 2024

Intl J Robust & Nonlinear

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“…To investigate the deception attack, a networked power system model with deception attacks and memory‐based event‐triggered schemes has been built [21]. The distributed model‐free adaptive control method was applied for MIMO non‐linear multiagent systems under deception attacks with consensus control and containment control [22]. Moreover, by assuming the period of attack and lower bound on attack sleeping periods are known, a state error‐dependent switched system model was built to study the LFC power system subject to DoS attacks [23].…”

Section: Introductionmentioning

confidence: 99%

“…was applied for MIMO non-linear multiagent systems under deception attacks with consensus control and containment control [22]. Moreover, by assuming the period of attack and lower bound on attack sleeping periods are known, a state error-dependent switched system model was built to study the LFC power system subject to DoS attacks [23].…”

mentioning

confidence: 99%

Robust networked power system load frequency control against hybrid cyber attack

Sun

Dinavahi

et al. 2023

IET Smart Grid

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Modern network and communication technologies are essential for the implementation and operation of load frequency control (LFC) systems. The measurements of crucial LFC system parameters will be compromised by attackers, rendering data received by the defence inaccurate and causing frequency fluctuations or even system collapse. To detect the potential attack on measured data and keep the LFC performance, an adaptive event‐triggered scheme with fractional order global sliding mode control scheme is proposed in this paper. Furthermore, Markov theory is employed for the modelling process with energy storage to present a multi‐area LFC power system considering renewable energy and hybrid cyber attacks. Stability and stabilisation criteria are built by employing improved Lyapunov stability theory and second‐order Bessel‐Legendre inequality. Finally, a two‐area LFC system under hybrid cyber attacks and a modified IEEE 39‐bus New England test power system with 3 wind farms are simulated to explore the efficacy of the proposed method.

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“…Fortunately, as a typical data-driven control method, the model-free adaptive control (MFAC) method was systematically established in the past few decades, which just employs online I/O data to build controller and not refer to any model information such that it has better applicability in various industrial processes. [22][23][24][25] The applications of MFAC have covered the interlinked microgrids system, 26 multi-agent systems, 27,28 pneumatic artificial muscle system 29 and so forth. Especially, the following articles have integrated MFAC into NCSs control field.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered model‐free adaptive predictive control for multiple‐input and multiple‐output networked control systems under deception attacks

Hou

2023

Intl J Robust & Nonlinear

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The event‐triggered model‐free adaptive predictive control (ET‐MFAPC) problem for a class of multiple‐input and multiple‐output nonlinear networked control systems (NCSs) with network delay under deception attacks is addressed in this article. First, a data driven MFAPC strategy with adaptive predictive gain is proposed by transforming the NCSs into an equivalent data model via dynamic linearization technology and designing controller only with I/O information rather than the system model. Meanwhile, an ET mechanism is applied to reduce the amount of data transmission under the limited network bandwidth. Further, the boundedness and convergence of tracking error is rigorous proved through the contraction mapping principle. Finally, the theoretical results are demonstrated through detailed simulations.

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Distributed Model-Free Adaptive Control for MIMO Nonlinear Multiagent Systems Under Deception Attacks

Cited by 28 publications

References 37 publications

Induced attack on formation control of multiagent systems with prescribed reference trajectories

Induced attack on formation control of multiagent systems with prescribed reference trajectories

Robust networked power system load frequency control against hybrid cyber attack

Event‐triggered model‐free adaptive predictive control for multiple‐input and multiple‐output networked control systems under deception attacks

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