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State estimation for nonlinear coupled complex dynamical networks with time delay

机译:具有延迟的非线性耦合复合动力网络的状态估计

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The state estimation of nonlinear coupled complex dynamical networks with time delay coupling is studied in this paper. The state estimation controllers are designed by using proportional control approach. A sufficient condition for state estimation is derived by using Lyapunov stability theory. Finally, we take the scale-free network as the network topology and the Lorenz chaotic system as the node dynamics, to do some simulations. The simulation results verify the effectiveness of the proposed method.
机译:本文研究了具有时间延迟耦合的非线性耦合复合动力网络的状态估计。状态估计控制器是通过使用比例控制方法而设计的。通过使用Lyapunov稳定性理论来导出状态估计的足够条件。最后,我们将无缝的网络作为网络拓扑和Lorenz混沌系统作为节点动态,进行一些模拟。仿真结果验证了该方法的有效性。

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