Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems

Han, Yiyan; Li, Chuandong; Zeng, Zhigang

doi:10.1016/j.neunet.2019.03.009

Cited by 29 publications

(7 citation statements)

References 32 publications

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“…Remark 4. It is worth noting that both the state-dependent term and the time-dependent term are included in the triggering condition (8)- (9), in order to reduce the communication frequency and avoid Zeno behavior. Since the sampled states are included in (8), the implementation of the triggering condition do not use continuous inter-neighboring communication.…”

Section: A Event-triggered Control Mechanismmentioning

confidence: 99%

“…Numerous works have been devoted to the research for event-triggered control of multi-agent systems in recent years. For instance, event-triggered control was investigated for agents with integrator-type dynamics [3], [4], general linear dynamics [5], [6], and nonlinear dynamics [7]- [9]. It should be mentioned that the aforementioned works mainly focused on the asymptotic consensus control.…”

Section: Introductionmentioning

confidence: 99%

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Practical Prescribed-Time Event-Triggered Bipartite Consensus of Linear Multi-Agent Systems

Zang

Chen

2020

IEEE Access

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In this paper, the practical prescribed-time bipartite consensus problem of linear multiagent systems with a connected structurally balanced signed graph is investigated by using event-triggered mechanism. Novel event-triggered control law and triggering condition are proposed for each agent, in which the sampled states of agent and its neighbors are needed. By using the algebraic graph theory and Lyapunov stability theory, it is verified that the practical bipartite consensus can be achieved at fully prespecified time with an adjustable neighborhood range. Moreover, a theoretical discussion is provided to illustrate that Zeno behavior can be avoided during the whole time span. The feasibility of the presented control strategy is validated by a simulation result. INDEX TERMSPractical prescribed-time consensus, bipartite consensus, event-triggered control, multiagent systems.

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Section: A Event-triggered Control Mechanismmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Practical Prescribed-Time Event-Triggered Bipartite Consensus of Linear Multi-Agent Systems

Zang

Chen

2020

IEEE Access

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“…In Reference 39, the asynchronous impulsive consensus of the leaderless second‐order MASs was discussed. The leaderless consensus of discrete MASs by the event‐based asynchronously impulsive control was studied in Reference 40. In Reference 41, for the consensus of the leaderless linear MASs, the asynchronous impulsive control with switching topologies was investigated.…”

Section: Introductionmentioning

confidence: 99%

Distributed asynchronous impulsive consensus of one‐sided Lipschitz nonlinear multi‐agent systems

Zhang

Cui

2021

Intl J Robust & Nonlinear

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This article investigates the consensus problem of one‐sided Lipschitz nonlinear multi‐agent systems (MASs) with distributed asynchronous impulsive control protocol. Based on the theory of discontinuous Lyapunov stability and impulsive differential equation, some new sufficient criteria about asynchronous impulsive control are derived to guarantee the consensus of one‐sided Lipschitz nonlinear MASs. Different from the existing methods of synchronous impulsive control, the asynchronous impulsive control does not need all agents are controlled simultaneously at one impulsive instant. Compared with the traditional Lipschitz condition, the one‐sided Lipschitz nonlinear function considered in this article can obtain a wider nonlinear range. Finally, some numerical simulation examples are given to verify the correctness of the theoretical analysis.

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“…In fact, impulsive perturbations exist widely in various fields, such as economics, electromagnetic wave radiation, electronics, and telecommunications (see [15][16][17][18][19][20][21][22]). Stamova and Henderson [23] studied the practical stability of the FONNs with impulses.…”

Section: Introductionmentioning

confidence: 99%

Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses

Kao

2020

Sci. China Inf. Sci.

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This paper focuses on the investigation of asymptotic multistability and on local S-asymptotic ω-periodicity for nonautonomous fractional-order neural networks (FONNs) with impulses. Several criteria on the existence, uniqueness, and invariant sets of nonautonomous FONNs with impulses are derived by constructing convergent sequences and comparison principles, respectively. In addition, using the Lyapunov direct method, some novel conditions of boundedness and local asymptotic stability of the FONNs discussed are obtained. Also, the sufficient conditions for local S-asymptotic ω-periodicities of the system are presented. Finally, a discussion using two examples verifies the validity of our findings, which imply that global asymptotic stability is a special case of asymptotic multistability.

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Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems

Cited by 29 publications

References 32 publications

Practical Prescribed-Time Event-Triggered Bipartite Consensus of Linear Multi-Agent Systems

Practical Prescribed-Time Event-Triggered Bipartite Consensus of Linear Multi-Agent Systems

Distributed asynchronous impulsive consensus of one‐sided Lipschitz nonlinear multi‐agent systems

Asymptotic multistability and local S-asymptotic ω-periodicity for the nonautonomous fractional-order neural networks with impulses

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