Fully distributed dynamic event-triggered control for multi-agent systems with input saturation and actuator failure

Chang, Beibei; Fang, Jianyin; Mu, Xiaomin

doi:10.1016/j.ejcon.2021.03.001

Cited by 27 publications

(9 citation statements)

References 23 publications

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“…Fully distributed control has been a hot spot in the field of consensus for multiagent systems because of its feasibility in practical engineering systems. A large number of pioneer work has been presented in references [22][23][24][26][27][28][29]. However, most of them are only applicable for systems under perfect communication network and cannot be adopted for the analysis under unreliable communication network.…”

Section: Fully Distributed Event-triggered Mechanismmentioning

confidence: 99%

“…In order to solve this problem, a fully distributed event-based protocol is developed in reference [22] by introducing adaptive coupling weights for each edge, where no global information is used. Furthermore, in reference [23], the authors investigate multiagent systems with input saturation and actuator failure and they present a dynamic event-based fully distributed protocol. An observer-based one-to-one fully distributed event-based mechanism is presented in reference [24], which means agents only transmit the information to the specified neighbours when triggered.…”

Section: Introductionmentioning

confidence: 99%

“…In some existing works [22][23][24][26][27][28][29][30][31], the fully distributed control framework are always considered in perfect network environment. However, the communication network of a multiagent system may be unreliable when it is attacked by malicious adversaries.…”

Section: Introductionmentioning

confidence: 99%

“…1. Since the traditional adaptive parameters in references [22][23][24][26][27][28][29][30][31] are not applicable to insecure network environment, a novel adaptive law is designed to ensure the proposed strategy is in a fully distributed fashion. It will be switched between the time intervals with and without DoS attacks.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Fully distributed event‐triggered consensus control for linear multiagent systems under DoS attacks

Sheng

Sun

2023

IET Control Theory & Appl

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This article investigates the event‐triggered consensus problem of general linear multiagent systems with denial‐of‐service (DoS) attacks. A distributed event‐triggered mechanism is presented to alleviate the limited communication resources, the designed mechanism is fully distributed owing to the introduction of some adaptive parameters. Moreover, since the DoS attacks have been considered in the event‐triggered rule design, a switching strategy for the adaptive parameters is adopted. A switching Lyapunov function is used to strictly demonstrate that secure consensus can be reached effectively under the proposed control mechanism. The quantitative relationship between the frequency of the DoS attacks and the consensus is also presented. Moreover, the Zeno behaviour can be excluded for the studied close‐looped systems. Finally, a numerical simulation example is given to demonstrate the validity of the designed control law.

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Section: Fully Distributed Event-triggered Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fully distributed event‐triggered consensus control for linear multiagent systems under DoS attacks

Sheng

Sun

2023

IET Control Theory & Appl

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“…44,45 However, the consensus control of event-triggered nonlinear MASs under actuator saturation conditions has not been fully studied. 46,47 The semi-global consistency problem of general MASs event-triggered under input saturation conditions was discussed. 48 Wang et al solved the problem of event-triggered adaptive control for nonlinear systems with asymmetric input saturation.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered adaptive consensus control of nonlinear multi‐agent systems with unknown control directions and actuator saturation

Zhang,

Wang,

Wei

2023

Intl J Robust & Nonlinear

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This article addresses the event‐triggered adaptive consensus control of nonlinear multi‐agent systems with unknown control direction and actuator saturation. A new robust adaptive control algorithm based on an event‐triggered mechanism is designed. The smooth Lipschitz function approximates the saturated nonlinear function, while the Nussbaum function handles unknown control directions and residual terms. The event‐triggered mechanism is designed to determine the time of communication, significantly reducing the communication burden. An additional estimator is utilized to deal with unknown parameters involved in neighbor dynamics and prevent information exchange to consistency errors between connected subsystems. The results show that all the signals of the closed‐loop system are uniformly bounded, and the consensus tracking error converges to a bounded set. Meanwhile, Zeno's behavior is eliminated. Simulation results confirm the superiority of the proposed method.

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Dynamic Event‐Triggered Consensus Tracking Control for Nonlinear Stochastic Multi‐Agent Systems Under Dual Network Attacks

Xing,

Li,

Deng

2024

Intl J Robust & Nonlinear

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This study discusses consensus tracking control problems for nonlinear stochastic multi‐agent systems under DoS attacks and deception attacks. The above attacks are respectively described as receiving duplicate data and receiving false data. In an effort to save network resources, this study proposes an appropriate dynamic event‐triggered mechanism. On this basis, a feedback controller for consensus tracking is designed. Then, a new consensus tracking criterion under dual network attacks is proposed. In addition, by selecting a new Lyapunov–Krasovskii functional and using Jesen inequality, sufficient conditions for system mean‐square stability are obtained. Finally, the efficacy of this approach is validated through a numerical example.

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Fully distributed dynamic event-triggered control for multi-agent systems with input saturation and actuator failure

Cited by 27 publications

References 23 publications

Fully distributed event‐triggered consensus control for linear multiagent systems under DoS attacks

Fully distributed event‐triggered consensus control for linear multiagent systems under DoS attacks

Event‐triggered adaptive consensus control of nonlinear multi‐agent systems with unknown control directions and actuator saturation

Dynamic Event‐Triggered Consensus Tracking Control for Nonlinear Stochastic Multi‐Agent Systems Under Dual Network Attacks

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