Characteristic model-based control approach for complex network systems

Characteristic model-based control approach for complex network systems
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基于特征模型的复杂网络系统控制方法

DOI:
10.1109/tsmc.2019.2931309
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发表时间:
2021-06
期刊:
IEEE Transactions on Systems, Man, and Cybernetics: Systems
影响因子:
--
通讯作者:
Changyin Sun
Changyin Sun
中科院分区:
其他
文献类型:
--
作者:
Lei Chen;Xinghuo Yu;Xin Xin;Changyin Sun

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研究了基于采样数据的复杂动态网络的特征模型建模与控制方法。结果表明,特征模型简化了底层网络的拓扑结构,能够直观、隐式地描述网络的动态行为。导出的参数估计方法可以进一步使模型具有自适应性和纯数据驱动性。此外,还提出了基于该模型的控制律来管理网络动态。最后,通过对一个动态网络的建模和镇定的数值仿真,验证了理论结果。
In this paper, characteristic model-based modeling and control approaches for complex dynamical networks based on sampled data are studied. It shows that the characteristic model, in which underline network topological structures are simplified, can provide a straightforward and implicit description for network dynamics. The induced parameter estimation method can further make the model adaptive and purely datadriven. Moreover, a control law based on this model is also proposed to govern the network dynamics. Finally, the theoretical results are verified through numerical simulations of modeling and stabilizing a dynamical network.
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