Distributed event-triggered control for consensus of multi-agent systems

Zhang, Hao; Yang, Ruohan; Yan, Huaicheng; Chen, Qijun

doi:10.1016/j.jfranklin.2015.05.035

Cited by 42 publications

(8 citation statements)

References 34 publications

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“…It is generally appreciated that consensus, the purpose of which is to control a set of agent states to reach an agreement, is a fundamental and important problem. The consensus issues include consensus without leader [ 14 , 15 ] and leader-follower consensus [ 16 , 17 ]. In [ 18 ], the consensus problem is extended to the sensor network and a distributed particle filter is proposed.…”

Section: Introductionmentioning

confidence: 99%

Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach

Chen

et al. 2021

Sensors

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This paper investigates formation tracking control for multi-agent networks with fixed time convergence. The control task is that the follower agents are required to form a prescribed formation within a fixed time and the geometric center of the formation moves in sync with the leader. First, an error system is designed by using the information of adjacent agents and a new control protocol is designed based on the error system and terminal sliding mode control (TSMC). Then, via employing the Lyapunov stability theorem and the fixed time stability theorem, the control task is proved to be possible within a fixed time and the convergence time can be calculated by parameters. Finally, numerical results illustrate the feasibility of the proposed control protocol.

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Section: Introductionmentioning

confidence: 99%

Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach

Chen

et al. 2021

Sensors

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“…The paper [22] showed that event trigger control has lower communication times and controller update times and better control effect than periodic sampling control on the premise of completing control tasks. The event-based control technology attracted much attention because of the characteristics of resource saving, and related research also achieved more results [23][24][25][26][27][28][29][30]. However, the consensus problem of HLFNs remains unsolved.…”

Section: Introductionmentioning

confidence: 99%

Distributed Event-Based Control of Hierarchical Leader-Follower Networks with Time-Varying Layer-To-Layer Delays

et al. 2020

Energies

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Compared with the traditional multi-agent models, the hierarchical leader–follower network (HLFN) can describe some real-world multi-agent systems more precisely due to its layered properties. The distributed event-based consensus control problem of HLFNs with layer-to-layer delays, namely, communication delays among agents of different layers, is presented in this essay. In order to solve the aforementioned problem, several innovative hierarchical event-based control (HEC) algorithms are proposed. The sufficient conditions on the control parameters and event-triggered mechanism were derived to undertake the reliability of the closed-loop dynamics. Moreover, it is shown that the zeno-behaviors of the presented HEC algorithms can be excluded. Finally, there are some numerical examples that verify the availability of the results.

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“…It has been studied extensively in network control systems and decentralized systems [15,17,18]. In many cases, such as formation control, pursuit control, and path planning, it outperforms the traditional time-triggered control [16,[19][20][21][22]. Thus, how to apply eventtriggered mode to multiagent formation control is another problem to be solved.…”

Section: Introductionmentioning

confidence: 99%

Event‐Triggered Multitarget Formation Control for Multiagent Systems

Zhang

Yan

et al. 2017

Mathematical Problems in Engineering

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The problems of multitarget selection and formation for multiagent systems are considered. First of all, an improved multitarget selection method based on auction algorithm is proposed such that each agent can automatically choose its target, and during the process of choosing targets, we apply an event-triggered mode to reduce the communication links between agents. Second, in view of the fact that all agents with the same target need to form a desired formation shape, we provide an event-triggered formation controller for each agent. Finally, we carry out the simulation experiment of the algorithm and the simulation results have illustrated the effectiveness of it.

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Distributed event-triggered control for consensus of multi-agent systems

Cited by 42 publications

References 34 publications

Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach

Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach

Distributed Event-Based Control of Hierarchical Leader-Follower Networks with Time-Varying Layer-To-Layer Delays

Event‐Triggered Multitarget Formation Control for Multiagent Systems

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