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Robust synchronization control for complex networks with disturbed sampling couplings

机译:具有干扰采样耦合的复杂网络的鲁棒同步控制

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This paper is concerned with the problems of asymptotic synchronization and L_2 performance specification of a class of nonlinear complex networks against disturbed discrete-time sampling couplings. The sampling coupled network is converted into an effective perturbed coupling network. The perturbations and nonlinearities of nodes are supposed to be influenced by some internal and external factors of networks, which are depended on the transmitted signals and restricted by some constant bounds respectively. An adaptive mechanism is designed to estimate the dependency rate of signals and constant bounds. Then the robust adaptive compensation controllers are constructed to automatically eliminate the effects of perturbations and nonlinearities based on the estimations, and simultaneously to specify the L_2 performance of networks. Through Lyapunov functions and adaptive schemes, the achievement of asymptotic synchronization of the closed-loop adaptive complex networks is obtained with satisfying a specified L_2 performance criterion. Finally, numerical simulations are included to validate the effectiveness of the proposed method.
机译:本文研究了一类非线性复杂网络在离散时间采样耦合干扰下的渐近同步和L_2性能指标问题。采样耦合网络被转换为有效的扰动耦合网络。假定节点的摄动和非线性受网络的一些内部和外部因素的影响,这些因素取决于传输的信号并分别受到一些恒定范围的限制。设计了一种自适应机制来估计信号和恒定范围的依赖性。然后构造鲁棒的自适应补偿控制器,以基于估计自动消除扰动和非线性的影响,并同时指定网络的L_2性能。通过Lyapunov函数和自适应方案,满足指定的L_2性能准则,实现了闭环自适应复杂网络的渐近同步。最后,通过数值模拟验证了所提方法的有效性。

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