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首页> 外文期刊>Neural Networks and Learning Systems, IEEE Transactions on >Adaptive Fault-Tolerant Synchronization Control of a Class of Complex Dynamical Networks With General Input Distribution Matrices and Actuator Faults
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Adaptive Fault-Tolerant Synchronization Control of a Class of Complex Dynamical Networks With General Input Distribution Matrices and Actuator Faults

机译:一类具有通用输入分配矩阵和执行器故障的复杂动态网络的自适应容错同步控制

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摘要

This paper is concerned with the problem of adaptive fault-tolerant synchronization control of a class of complex dynamical networks (CDNs) with actuator faults and unknown coupling weights. The considered input distribution matrix is assumed to be an arbitrary matrix, instead of a unit one. Within this framework, an adaptive fault-tolerant controller is designed to achieve synchronization for the CDN. Moreover, a convex combination technique and an important graph theory result are developed, such that the rigorous convergence analysis of synchronization errors can be conducted. In particular, it is shown that the proposed fault-tolerant synchronization control approach is valid for the CDN with both time-invariant and time-varying coupling weights. Finally, two simulation examples are provided to validate the effectiveness of the theoretical results.
机译:本文涉及具有执行器故障和耦合权重未知的一类复杂动态网络(CDN)的自适应容错同步控制问题。假定所考虑的输入分布矩阵是任意矩阵,而不是单位一。在此框架内,设计了一种自适应容错控制器以实现CDN的同步。此外,还开发了凸组合技术和重要的图论结果,从而可以对同步误差进行严格的收敛分析。特别地,表明,所提出的容错同步控制方法对于具有时不变和时变耦合权重的CDN都是有效的。最后,提供了两个仿真示例以验证理论结果的有效性。

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