Flocking in nonlinear multi-agent systems with time-varying delay via event-triggered control

Sun, Fenglan; Wang, Rui; Zhu, Wei; Li, Yongfu

doi:10.1016/j.amc.2018.12.056

Cited by 34 publications

(23 citation statements)

References 44 publications

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“…When the velocity information is unavailable, Su et al (2009b) investigated the flocking control only based on position measurements. The works of Sun et al (2019) and Zhang et al (2019) employed the adaptive control protocols to overcome the effect of nonlinear dynamics in MAS. For the nonlinear dynamics related to all state variables, Su et al (2013) investigated the adaptive flocking problems governed by locally Lipschitz nonlinearity.…”

Section: Introductionmentioning

confidence: 99%

Fixed-time leader-following flocking and collision avoidance of multi-agent systems with unknown dynamics

Yan

et al. 2021

Transactions of the Institute of Measurement and Control

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The fixed-time flocking of multi-agent systems with a virtual leader is investigated in this paper. The motion dynamics of the agents are assumed to be unknown and only satisfy the boundedness, which does not need to be modelled by the Lipschitz condition. To achieve the flocking and collision avoidance for all agents in the fixed time, a control protocol in the high-dimensional space is developed by using the graph theory and the theoretical properties of differential equations. Moreover, the upper bound of the settling time only depending on the control protocol and the topology of network is estimated. Numerical examples are used to verify the theoretical results, and show that the proposed method provides an applicable method for the control of the nonlinear dynamic systems.

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Section: Introductionmentioning

confidence: 99%

Fixed-time leader-following flocking and collision avoidance of multi-agent systems with unknown dynamics

Yan

et al. 2021

Transactions of the Institute of Measurement and Control

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“…The past few years have witnessed an increasing attention on distributed coordinative control of multi‐agent systems (MAS) with its wide applications in various fields, such as computer networks, formation control, 1,2 vehicle‐road coordination, 3 synchronization, 4 flocking and swarming, 5,6 and so on. Su et al 2 studied the formation‐containment problem for multirobot systems with stochastic sampling.…”

Section: Introductionmentioning

confidence: 99%

“…Wu et al 4 investigated the output synchronization problem for heterogeneous networks. Sun et al 5 studied the flocking problem in the nonlinear MAS with time‐varying delay. Li et al 6 investigated the adaptive finite‐time flocking problem for a class of second‐order nonlinear MAS with uncertain parameters.…”

Section: Introductionmentioning

confidence: 99%

Consensus of heterogeneous discrete‐time multi‐agent systems with noise over Markov switching topologies

Sun

Lei

Kurths

2020

Intl J Robust & Nonlinear

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This paper considers the mean‐square bounded consensus of heterogeneous discrete‐time multi‐agent systems with noise over fixed and Markov switching topologies. Firstly, a protocol is designed based on the agents' neighbor information with noise. Secondly, by using the Lyapunov function method, matrix analysis and probability theory, sufficient conditions for the mean‐square bounded consensus are given. Finally, several simulations are presented to illustrate the potential correctness of the results.

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“…In addition, it may potentially reduce the control costs compared to continuous-time flocking control of artificial-intelligence-based MAS. Recently, some distributed ETC algorithms on the flocking problem have been proposed [32][33][34][35]. Among these works, it is assumed that there is a virtual leader to be tracked in the flocking motion.…”

Section: Introductionmentioning

confidence: 99%

“…Motivated by the above consideration, a distributed ETC strategy is proposed to investigate the free flocking problem for MAS in this paper. In the proposed algorithm, we consider only the information of neighbors and no global information is required, which is different from [35]. Both the relative position and the relative velocity information are updated at discrete instants.…”

Section: Introductionmentioning

confidence: 99%

Flocking of Multi-Agent System with Nonlinear Dynamics via Distributed Event-Triggered Control

Shen

Kong

2019

Applied Sciences

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In this paper, a distributed event-triggered control strategy is proposed to investigate aflocking problem in a multi-agent system with Lipschitz nonlinear dynamics, where triggeringconditions are proposed to determine the instants to update the controller. A distributedevent-triggered control law with bounded action function is proposed for free flocking. It is provedthat the designed event-triggered controller ensures a group of agents reach stable flocking motionwhile preserving connectivity of the communication network. Lastly, simulations are provided toverify the effectiveness of the theoretical results.

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Flocking in nonlinear multi-agent systems with time-varying delay via event-triggered control

Cited by 34 publications

References 44 publications

Fixed-time leader-following flocking and collision avoidance of multi-agent systems with unknown dynamics

Fixed-time leader-following flocking and collision avoidance of multi-agent systems with unknown dynamics

Consensus of heterogeneous discrete‐time multi‐agent systems with noise over Markov switching topologies

Flocking of Multi-Agent System with Nonlinear Dynamics via Distributed Event-Triggered Control

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