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Bipartite Consensus Problem of Harmonic Oscillators Based on Sampled-data

机译:基于采样数据的谐波振荡器双向共识问题

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This paper is concerned with the bipartite consensus problem of sampled-data coupled harmonic oscillators by predictor factor under the fixed topology. Compared with the existing distributed protocol for synchronization in networks of coupled harmonic oscillators based on the sampled-data measurement, we propose a distributed bipartite consensus control protocol in which positive and negative interaction weights coexist. For structurally balanced networks, we improve the convergence rate of the network via predictor factor. Necessary and sufficient conditions are obtained for the well designed protocol to achieve bipartite consensus by using frequency-domain analysis and matrix theory. Finally, examples are shown to validate the convergence conditions.
机译:本文通过固定拓扑下的预测因子来研究采样数据耦合谐振子的二分共识问题。与现有的基于采样数据测量的耦合谐振子网络中用于同步的分布式协议相比,我们提出了一种正负交互权重共存的分布式二分共识控制协议。对于结构平衡的网络,我们通过预测因子提高网络的收敛速度。通过使用频域分析和矩阵理论,为精心设计的协议获得必要的充分条件,以实现两方共识。最后,通过实例验证了收敛条件。

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