Distributed Containment Control for Human-in-the-Loop MASs With Unknown Time-Varying Parameters

Lin, Guohuai; Li, Hongyi; Ma, Hui; Zhou, Qi

doi:10.1109/tcsi.2022.3205335

Cited by 47 publications

(15 citation statements)

References 51 publications

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“…Thus, the containment control problem arises when there are multiple leaders, in which agents are required to eventually converge into the convex hull spanned by leaders. Since nonlinear dynamics is more universal, some scholars investigate the problem of containment control 15–17 . Yoo et al 15 dealt with the containment control with strict‐feedback followers problem for nonlinear MASs.…”

Section: Introductionmentioning

confidence: 99%

“…Li et al 16 solved the distributed containment control problem by designing a tracking controller for stochastic nonlinear systems. Unknown time‐varying parameters and input saturation were considered on the distributed containment control 17 . However, the researches mentioned above assume that control inputs of leaders are zero.…”

Section: Introductionmentioning

confidence: 99%

“…Since nonlinear dynamics is more universal, some scholars investigate the problem of containment control. [15][16][17] Yoo et al 15 dealt with the containment control with strict-feedback followers problem for nonlinear MASs. Li et al 16 solved the distributed containment control problem by designing a tracking controller for stochastic nonlinear systems.…”

Section: Introductionmentioning

confidence: 99%

“…Unknown time-varying parameters and input saturation were considered on the distributed containment control. 17 However, the researches mentioned above assume that control inputs of leaders are zero. To change the containment configuration or track a certain trajectory, non-zero and time-varying inputs of leaders are necessary in practice.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive containment control of nonlinear multi‐agent systems about privacy preservation with multiple attacks

Gong

Cao

Pan

et al. 2023

Intl J Robust & Nonlinear

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Summary This paper focuses on the problem of adaptive containment control about privacy preservation in nonlinear multi‐agent systems, where followers suffer from multiple cyber‐attacks and leaders have non‐zero control inputs. A multiple attacks mold consisting of denial‐of‐service (DoS) attacks and false data‐injection attacks is constructed for nonlinear systems. The containment control protocol is updated by applying an event‐triggered scheme. This scheme is proposed to dispatch the updating information in the presence of multiple attacks. Meanwhile, to deal with the information insecurity that may exist in the control process, the protocol for privacy preservation about initial information is developed by introducing time‐varying functions as masks. Tracking errors of agents are described by taking the inputs of leaders as the external disturbances. This method does not depend on the widths of boundary layers and reduce the computational complexity. The stability of multi‐agent systems is analyzed by applying the Cauchy inequality, the Young's inequality and the Lyapunov function theory. Finally, two simulation examples are shown to illustrate the effectiveness of the proposed control strategy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive containment control of nonlinear multi‐agent systems about privacy preservation with multiple attacks

Gong

Cao

Pan

et al. 2023

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…Meanwhile, the problem of communication resources has attracted more and more attention, and various of ET methods have been proposed in References 34–44. For example, by introducing an internal dynamic variable, a distributed Zeno‐free dynamic ET method which prolonged the interevent time was constructed in Reference 45.…”

Section: Introductionmentioning

confidence: 99%

A data‐based event‐triggered control for switching topology nonlinear multiagent systems with DoS attacks

Liu

Cao

Liang

et al. 2023

Intl J Robust & Nonlinear

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Summary In this paper, a secure cooperative control strategy which integrates the data‐driven control method and the backstepping framework is proposed for a class of discrete‐time nonlinear multiagent systems with denial‐of‐service (DoS) attacks. First, by designing special index functions, we overcome the algebraic loop problem in the backstepping framework to propose a data‐driven backstepping control method which does not use the Lyapunov theory to design the controller. Second, the problem of DoS attacks in communication channels is solved by switching topology strategy. Then, an event‐triggered mechanism based on synchronization error is used to save communication resources, which does not have a great negative impact on the control performance. Moreover, an event‐triggered cooperative strategy is constructed to ensure that all signals and tracking errors of the closed‐loop system are bounded. Finally, two simulation examples verify the effectiveness of the proposed control scheme.

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Second‐order extended state observers‐based adaptive event‐triggered containment control for nonlinear multiagent systems with mismatched stochastic disturbances

Zuo,

Cao,

Ren

et al. 2023

Adaptive Control & Signal

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SummaryThis article investigates the event‐triggered containment control problem for nonlinear multiagent systems with mismatched stochastic disturbances. A set of second‐order extended state observers (ESOs) is constructed to solve the problem of bounded stochastic disturbances. The observers are able to estimate the disturbances in each control input channel in real‐time and solve the problem of stochastic disturbances path non‐differentiability. Based on backstepping technique, adaptive controllers are designed to ensure that the output of the followers converge to the convex hull formed by the leaders. Moreover, a simplified event‐triggered threshold condition is designed, which effectively reduces the update frequency of the controller and the complexity of threshold condition. Based on the Lyapunov stability theorem, it is proved that all signals in the closed‐loop systems are the practically bounded. Finally, the effectiveness of the proposed control scheme is verified by simulation results.

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Distributed Containment Control for Human-in-the-Loop MASs With Unknown Time-Varying Parameters

Cited by 47 publications

References 51 publications

Adaptive containment control of nonlinear multi‐agent systems about privacy preservation with multiple attacks

Adaptive containment control of nonlinear multi‐agent systems about privacy preservation with multiple attacks

A data‐based event‐triggered control for switching topology nonlinear multiagent systems with DoS attacks

Second‐order extended state observers‐based adaptive event‐triggered containment control for nonlinear multiagent systems with mismatched stochastic disturbances

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