Dynamic Event-Triggered Practical Fixed-Time Consensus for Nonlinear Multiagent Systems

Liu, Jian; Ran, Guangtao; Wu, Yongbao; Xue, Lei; Sun, Changyin

doi:10.1109/tcsii.2021.3128624

Cited by 69 publications

(25 citation statements)

References 34 publications

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“…As can be seen from the figure, under the action of a predefined-time controller (24), a trigger function (27), a dynamic variable (28), and a trigger condition (29), the system can achieve system state consistency within approximately 0.6s. (28) and internal dynamic variable (29) in this paper are consistent with that in [31]. It is worth noting that the time parameter T of the controller is selected.…”

Section: ⅴ Simulation Experimentsmentioning

confidence: 65%

“…[30] discussed the fixed-time event / self-triggered leader-follower consensus problem for MASs with nonlinear dynamics. In [31], a new dynamic event-triggered control scheme was proposed for the fixed-time consensus problem of MASs with nonlinear dynamics. In [32], the fixed-time average consensus problem for nonlinear MASs with input delay, external disturbances and switching topology was solved.…”

Section: Introductionmentioning

confidence: 99%

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Predefined-Time Consensus of Nonlinear Multi-Agent Input Delay/Dynamic Event-Triggered Under Switching Topology

Tan

Mei

2023

IEEE Access

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The consensus control problem of multi-agent systems (MASs) is studied. Firstly, a predefined-time consensus control algorithm is proposed for nonlinear uncertain systems with the input delay and switching topology. Then, the problem of resource consumption is considered, a dynamic eventtriggered predefined-time consensus control algorithm is presented by introducing internal dynamic variables, which can make the MASs achieve consensus in the preset time. The correctness of the algorithm is proved by algebraic graph theory and Lyapunov theory, and there is no Zeno behavior. Simulation comparison experiments verify the effectiveness and superiority of the proposed algorithm. Compared with the finite-time control algorithm, the convergence time of this algorithm is independent of the initial state. The upper bound of the system convergence time can be set by selecting a time parameter. Compared with the fixed-time control algorithm, the convergence time of this algorithm is independent of the controller parameters, only related to a single parameter, the setting is simple, and the estimated convergence time is less conservative. Compared with the static triggering mechanism, the dynamic triggering mechanism can avoid a large number of triggering.INDEX TERMS Multi-agent systems (MASs), consensus control, the nonlinear uncertain system, input delay, switching topologies, dynamic event-triggered control, predefined-time consensus control

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Section: ⅴ Simulation Experimentsmentioning

confidence: 65%

Section: Introductionmentioning

confidence: 99%

Predefined-Time Consensus of Nonlinear Multi-Agent Input Delay/Dynamic Event-Triggered Under Switching Topology

Tan

Mei

2023

IEEE Access

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“…Simulations have been presented to show the validness of the presented method. In this paper, the obtained results are asymptotic, it should be noted that there are some excellent results on fixed‐time consensus of nonlinear multi‐agent systems 41‐44 . Therefore, how to design a fixed‐time control strategy under the relay scheme is an interesting research topic.…”

Section: Discussionmentioning

confidence: 83%

“…In this paper, the obtained results are asymptotic, it should be noted that there are some excellent results on fixed-time consensus of nonlinear multi-agent systems. [41][42][43][44] Therefore, how to design a fixed-time control strategy under the relay scheme is an interesting research topic. Moreover, we consider the relay pursuit problem among agents under perfect communication networks, however, the communication network may not be always perfect.…”

Section: Discussionmentioning

confidence: 99%

Cooperative relay pursuit with input saturation constraint and external disturbances

Zhu

Han

et al. 2022

Intl J Robust & Nonlinear

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This paper studies a class of tracking consensus problem called the cooperative relay pursuit where a group of agents cooperatively pursuit and capture an evading agent that enters the surveillance region. A subgroup of agents closest to the evader is commanded to pursuit the evader and thus called pursuers, while others called surveillance agents stay at their origin places. A relay mechanism is introduced to respect the pursuit efficiency, energy constraints and other factors. As the evader moves, some pursuers that do not remain the closest vicinity of the evader leave the pursuing group, while some surveillance agents that become more closer to the evader join into the pursuing. Due to the relay mechanism, the dynamics of pursuers are naturally an impulsive system and thus is nonsmooth. This paper aims to propose a distributed controller to achieve cooperative relay pursuit even when agents are subjected to both input saturation constraint and external disturbances. A modified algebraic Riccati equation and low‐gain technique are proposed to achieve the tracking consensus with an H∞$$ {H}_{\infty } $$ performance. A simulation example is provided to validate the theoretical results.

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“…Although RL algorithm is used to seek the optimal control policy, and there are some practical factors to be considered in the future works, such as the shared communication networks among agents has the limited bandwidth and is easy to be attacked. Thus, the event-triggered control [28][29][30], and resilient consensus control [31,32] will be considered in the future works.…”

Section: Theorem 3 Consider the Heterogeneous Mas Composed Of Equatio...mentioning

confidence: 99%

Learning‐based distributed adaptive control of heterogeneous multi‐agent systems with unknown leader dynamics

Mei

Sun

Dou

et al. 2022

IET Cyber-Phy Sys Theory & Ap

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This study focuses on the distributed adaptive tracking control of heterogeneous multiagent systems with unknown leader dynamics in a directed graph. In contrast to the reported leader-following consensus studies, the prior knowledge of the leader is supposed to be cognised to some or all of followers, the situation that the leader's dynamics is totally unrecognised but can be learnt for each individual follower is considered. A datadriven learning algorithm using the systems data is developed to reconstruct the unknown systems matrix. Then, an adaptive distributed dynamic compensator is exploited to provide the leader's state estimation in a directed graph. Afterwards, a dynamic output feedback control law for each agent is projected. Theoretical analysis shows that the proposed algorithms not only ensure that all followers can identify the unknown system matrix, but also guarantee that the distributed output leader-following consensus control with heterogeneous dynamics is achieved without any global information. Finally, a numerical example is provided to testify the proposed algorithms.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Dynamic Event-Triggered Practical Fixed-Time Consensus for Nonlinear Multiagent Systems

Cited by 69 publications

References 34 publications

Predefined-Time Consensus of Nonlinear Multi-Agent Input Delay/Dynamic Event-Triggered Under Switching Topology

Predefined-Time Consensus of Nonlinear Multi-Agent Input Delay/Dynamic Event-Triggered Under Switching Topology

Cooperative relay pursuit with input saturation constraint and external disturbances

Learning‐based distributed adaptive control of heterogeneous multi‐agent systems with unknown leader dynamics

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