Controlling anti-synchronization between two weighted dynamical networks

Hu T.; Sun W.

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Controlling anti-synchronization between two weighted dynamical networks

机译：控制两个加权动态网络之间的反同步

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In this paper, we theoretically and numerically investigate anti-synchronization between two weighted dynamical networks. Based on the Barbalat lemma, we propose two adaptive controllers to realize the global anti-synchronization between two networks with both equivalent and different topological structures. In addition, we derive two theorems on the anti-synchronization based on the Lyapunov stability theory and verify them by extensive numerical examples.

机译：在本文中，我们在理论上和数值上研究了两个加权动态网络之间的反同步。基于Barbalat引理，我们提出了两个自适应控制器，以实现两个具有相同拓扑结构和不同拓扑结构的网络之间的全局反同步。此外，我们基于李雅普诺夫稳定性理论推导了两个关于反同步的定理，并通过大量的数值例子进行了验证。

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《Physica Scripta: An International Journal for Experimental and Theoretical Physics》 |2013年第1期|共5页
作者
Hu T.; Sun W.;
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中图分类物理学;
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专利

1. Controlling anti-synchronization between two weighted dynamical networks [J] . Hu T., Sun W. Physica Scripta: An International Journal for Experimental and Theoretical Physics . 2013,第1期

机译：控制两个加权动态网络之间的反同步
2. Anti-synchronization for stochastic memristor-based neural networks with non-modeled dynamics via adaptive control approach [J] . Zhao Hui, Li Lixiang, Peng Haipeng, The European physical journal, B. Condensed matter physics . 2015,第5期

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3. Anti-synchronization of complex delayed dynamical networks through feedback control [J] . Xiao Jian Scientific Research and Essays . 2011,第3期

机译：通过反馈控制实现复杂时滞动态网络的反同步
4. Pinning Control of Weighted General Complex Dynamical Networks with Coupling Delays [C] . Li, Hongjie, Yue, Knowledge Acquisition and Modeling Workshop,KAM,2008 IEEE International Symposium on . 2008

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7. Dissipativity of Markovian multiple‐weighted coupled neural networks with dynamic event‐triggered pinning control [O] . Weizhong Chen, Yang Zhang, Yelei Zheng 2020

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Controlling anti-synchronization between two weighted dynamical networks

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