2013
DOI: 10.1049/iet-cta.2012.0910
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Adaptive cluster synchronisation of coupled harmonic oscillators with multiple leaders

Abstract: In this study, the authors investigate the cluster synchronisation of coupled harmonic oscillators with multiple leaders in an undirected fixed network. Unlike many existing algorithms for cluster synchronisation of complex dynamical networks or group consensus of multi-agent systems, which require global information of the underlying network such as eigenvalues of the coupling matrix or centralised control protocols, we propose a novel decentralised adaptive cluster synchronisation protocol for coupled harmon… Show more

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Cited by 36 publications
(17 citation statements)
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“…The past few decades have witnessed, therefore, a significant progress on CDNs, and a series of important research advances on CDNs have been reported in the literature. See, for example, [7][8][9][10] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…The past few decades have witnessed, therefore, a significant progress on CDNs, and a series of important research advances on CDNs have been reported in the literature. See, for example, [7][8][9][10] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…Hu et al discussed group consensus for two classes of dynamical multiagent systems, respectively, which are systems with hybrid protocols (there is discontinuous transfer of information between nearest groups [16]) and systems with distinct groups comprising different types of agents [17]. To achieve group synchronization of the coupled vibrators, Su et al considered both the adaptive pinning control strategy [18] and the case with multiple leaders [19]. Xie et al [20] addressed the group consensus problem of first-order systems.…”
Section: Complexitymentioning
confidence: 99%
“…The expansion of the cyberphysical system turns into simply duplicating agents without accommodating control policy. To deal with the physical coupling of networked system, one common approach is to decouple subsystems in control design [5][6][7][8]. Each subsystem may utilize state information of neighbored subsystems for mitigating their physical interference, or the designer treats their physical interference as random disturbance [9,10].…”
Section: Introductionmentioning
confidence: 99%