Double event-triggered control for linear multi-agent systems with augmented dynamic triggering mechanisms

Luo, Shengping; Ye, Dan

doi:10.1016/j.amc.2020.125522

Cited by 8 publications

(7 citation statements)

References 33 publications

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“…Remark The event‐based algorithms proposed in many works of the same type involve global information (see References 24‐27 and 36), and the above algorithms may fail once the network structure is changed. In this article, the proposed event‐driven algorithm consisting of (6) and (8) avoids the effect of global information on consensus through adaptive control and is therefore fully distributed.…”

Section: Resultsmentioning

confidence: 99%

“…Compared to existing event‐driven consensus algorithms, the contribution of this article can be summarized in the following four parts. The event‐driven algorithms proposed in References 24‐27 and 36 rely on global information making the above works only apply to communication networks with a specific structure. In this article, we combine adaptive techniques with event‐driven strategy to eliminate the impact of global information on consensus, that is, there is no need to know the exact network communication structure or the number of agents.…”

Section: Introductionmentioning

confidence: 99%

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Fully distributed event‐driven cooperation with unknown parameters under directed graphs

Liu

Sun

Zhang

2022

Intl J Robust & Nonlinear

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In this article, a novel fully distributed dynamic event‐driven strategy is designed for linear multi‐agent systems (MASs) containing unknown parameters under general directed graphs. Each agent can achieve consensus asymptotically by communicating with its neighbors and does not need to use global information, so the proposed dynamic event‐driven algorithm can work in a fully distributed manner. Existing fully distributed event‐based consensus works rely on two or more event monitoring conditions. Too much event monitoring logic will put an extra computational burden on the MASs; instead, for the first time, this article proposes a fully distributed event‐driven strategy with a single event monitoring condition under directed graphs. In addition, the proposed strategy (adaptive control law and event monitoring condition) does not involve the dynamics parameters of MASs and provides better applicability. Finally, we rule out Zeno behavior by showing that any adjacent event interval for each agent is greater than zero. The simulations verify our results.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fully distributed event‐driven cooperation with unknown parameters under directed graphs

Liu

Sun

Zhang

2022

Intl J Robust & Nonlinear

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“…Therefore, it is necessary to develop more flexible event‐triggered conditions to further reduce communication costs and save finite resources. A dynamic ETC strategy was proposed in References 31–36. The article 32 investigated a consensus problem for a class of linear multi‐agent with directed networks under distributed dynamic event‐triggered strategy.…”

Section: Introductionmentioning

confidence: 99%

“…(1) In this article, two dynamic ETC protocols are designed for two classes of NMASs, which can realize the cluster consensus instead of complete consensus. [32][33][34][35] Compared with the static ETC, 27,29,30 dynamic ETC adopts a dynamic threshold to replace a constant in triggering function. As a result, its next trigger time surpasses that of the static ETC, leading to enhanced trigger time intervals and reduced controller updates.…”

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confidence: 99%

Adaptive cluster consensus control of nonlinear multi‐agent system via the dynamic event‐triggered strategy

Xia,

Li,

Liu

et al. 2024

Adaptive Control & Signal

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SummaryIn this article, the cluster consensus problems of two classes of nonlinear multi‐agent systems (NMASs) are studied under the dynamic event‐triggered control (ETC) strategy, where cooperative‐competitive interactions among agents and high‐order dynamics are considered. First, two dynamic ETC protocols are developed to realize the cluster synchronization of NMASs. Different from the static ETC, a dynamic parameter regulated by an adaptive law is used in place of a constant which can improve the trigger time intervals and reduce the energy consumption. Subsequently, an adaptive control mechanism based on the proposed ETC strategy is designed to adjust the controller parameter for agents. Some sufficient conditions for achieving the cluster consensus of NMASs are derived by using the Lyapunov stability theory and algebraic graph theory. Moreover, it is proved in theory that Zeno phenomenon can be excluded with these control schemes. Finally, two simulation examples validate the effectiveness of the theoretical results.

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“…Addressing the output consensus problem of a heterogeneous linear multiagent system, [24] proposed a distributed event-triggered control scheme. In [25], even-triggered functions were used to solve the problem of linear multi agent consensus with augmented dynamic triggering mechanisms. On the other hand, time delay is an inevitable phenomenon in the real coordinated control systems, [35] studied the problem and proposed the robust estimation framework of synchronization error level for the multiple heterogeneous uncertain chaotic systems.…”

Section: Introduction a Aims And Motivationmentioning

confidence: 99%

Distributed Event-Triggered Adaptive Coordinated Trajectory Tracking Control of Multi-USVs Based on the Aggregate Tracking Error

Zhang

2021

IEEE Access

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Aiming to solving the nonlinear coordinated trajectory tracking control problem of multi-USVs under the influence of slowly changing and uncertain environmental disturbances, reducing energy consumption and ensuring tracking performance and stability, a distributed event-triggered adaptive coordinated trajectory tracking controller (DET-ACTTC) for multiple unmanned surface vessels (multi-USVs) is proposed based on the undirected communication topology. By introducing a virtual leader, a leaderfollower formation is used to generate the coordinated tracking errors. Based on the expected formation and states, the aggregate tracking errors are defined, and event-triggered measurement errors are constructed to design the event-triggered conditions. An adaptive term is used to compensate for external environment disturbances, and the DET-ACTTC is deduced for each USV in the group. The tracking errors of the eventtriggered coordinated trajectory tracking control (ETCTTC) system gradually converge to zero, and Zeno behavior is avoided. The theoretical results are verified by simulations.

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Double event-triggered control for linear multi-agent systems with augmented dynamic triggering mechanisms

Cited by 8 publications

References 33 publications

Fully distributed event‐driven cooperation with unknown parameters under directed graphs

Fully distributed event‐driven cooperation with unknown parameters under directed graphs

Adaptive cluster consensus control of nonlinear multi‐agent system via the dynamic event‐triggered strategy

Distributed Event-Triggered Adaptive Coordinated Trajectory Tracking Control of Multi-USVs Based on the Aggregate Tracking Error

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