Event-triggered sampling scheme for pinning control in multi-agent networks with general nonlinear dynamics

2015 ◽  
Vol 27 (8) ◽  
pp. 2587-2599 ◽  
Author(s):  
Huaqing Li ◽  
Guo Chen ◽  
Li Xiao
Keyword(s):  
Nonlinear Dynamics ◽  
Pinning Control ◽  
Sampling Scheme ◽  
Multi Agent ◽  
Agent Networks ◽  
Event Triggered

Distributed Consensus of Multi-Agent Networks Via Event-Triggered Pinning Control

2016 ◽  
Vol 19 (2) ◽  
pp. 614-624 ◽  
Author(s):  
Dan Liu ◽  
Aihua Hu ◽  
Dan Zhao
Keyword(s):  
Pinning Control ◽  
Distributed Consensus ◽  
Multi Agent ◽  
Agent Networks ◽  
Event Triggered

Event-triggered Control for Cluster Consensus in Multi-agent Networks

2015 ◽  
Vol 18 (5) ◽  
pp. 1836-1844 ◽  
Author(s):  
Aihua Hu ◽  
Manfeng Hu ◽  
Liuxiao Guo
Keyword(s):  
Multi Agent ◽  
Cluster Consensus ◽  
Agent Networks ◽  
Event Triggered

Cluster consensus of multi-agent systems with general linear and nonlinear dynamics via intermittent adaptive pinning control

2020 ◽  
pp. 014233122097525
Author(s):  
Yunlong Zhang ◽  
Guoguang Wen ◽  
Ahmed Rahmani ◽  
Zhaoxia Peng ◽  
Wei Hu
Keyword(s):  
Nonlinear Dynamics ◽  
Matrix Theory ◽  
Information Source ◽  
Pinning Control ◽  
General Linear ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Multi Agent ◽  
Linear And Nonlinear ◽  
Cluster Consensus

This paper investigates the cluster consensus of multi-agent systems (MASs) with general linear and nonlinear dynamics via intermittent adaptive pinning control, where each cluster has a virtual leader whose state can be sensed by only a small part of followers on some disconnected time intervals because of communication constraints. The communication topology is considered to be weakly connected, that is, it is not necessary to be in-degree balanced, strongly connected or contain a directed spanning tree. To realise the cluster consensus, a class of intermittent adaptive pinning control protocols is proposed according to difference that the agents receive information source. The pinning gains are designed to be intermittent adaptive and with an exponential convergence rate, which will effectively reduce communication costs, avoid the pinning gains being larger than those needed in practice. Meanwhile, it guarantees that the pinning gains quickly converge to steady value. Correspondingly, some sufficient consensus criteria are derived to guarantee that the agents in the same cluster asymptotically can reach consensus while the agents in different clusters can reach different consensus. Rigorous proofs are given by the aid of Lyapunov stability theory and matrix theory. Finally, a numerical simulation example is presented to validate the main results.

scholarly journals Integral-Type Edge-Event- and Edge-Self-Triggered Synchronization to Multi-Agent Systems with Lur’e Nonlinear Dynamics

2021 ◽  
Vol 11 (19) ◽  
pp. 9137
Author(s):  
Ming-Zhe Dai ◽  
Jie Liu ◽  
Jin Wu ◽  
Chengxi Zhang ◽  
Dang-Jun Zhao
Keyword(s):  
Nonlinear Dynamics ◽  
Control Strategies ◽  
Multi Agent Systems ◽  
Integral Type ◽  
Lur’E Systems ◽  
Agent Systems ◽  
Distributed Synchronization ◽  
Multi Agent ◽  
Update Frequency ◽  
Event Triggered

This paper proposes event- and self-triggered control strategies to achieve distributed synchronization for multiple Lur’e systems with unknown static nonlinearities. Firstly, the integral-type edge-event-triggered function is designed here without Zeno behaviors. Compared to the traditional event-triggered schemes, the considered algorithm has the advantages of reducing controller update frequency and sensor energy consumption. Then, the integral-type self-triggered is further investigated, which implements discontinuous monitoring and discontinuous agent listening. Finally, numerical simulations verified the effectiveness and superiority of our policies.

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