Robust Distributed Fault Estimation for a Network of Dynamical Systems
Robust Distributed Fault Estimation for a Network of Dynamical Systems
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DOI：
10.1109/tcns.2016.2567223
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发表时间：
2018-03-01
影响因子：
4.2
通讯作者：
Yang, Guang-Hong
中科院分区：
文献类型：
--
作者：
Zhu, Jun-Wei;Yang, Guang-Hong
本文研究了具有外部扰动的动态系统网络的鲁棒分布式故障估计问题。基于本地输出测量和邻居的状态估计，为每个节点构造分布式中间估计器。通过拉普拉斯算子的谱分解以及对故障和干扰的适当缩放，可以创建一个特殊结构的全局误差系统。证明了全局误差系统的状态是一致最终有界的，且具有显式的误差界。与已有结果相比，该故障估计策略不需要对中间估计器的匹配条件和故障上界的初步了解，并且可以通过直接调整中间估计器的设计参数来保证全局误差系统的鲁棒性，无需引入任何性能指标.仿真实例验证了该方法的有效性。
In this paper, the robust distributed fault estimation problem is considered for a network of dynamical systems with external disturbances. Based on local output measurements and state estimates from neighbors, a distributed intermediate estimator is constructed for each node. By spectral decomposition of the Laplacian and proper scalings of the faults and the disturbances, a specially structured global error system can be created. It is proved that the states of the global error system are uniformly ultimately bounded with an explicit error bound. Compared with the existing results, the proposed fault estimation strategy has no requirements of the observer-matching condition and the preliminary knowledge of the upper bounds of the faults; moreover, the robustness of the global error system can be ensured by directly adjusting the design parameters of the intermediate estimators, without introducing any performance specifications. Simulation examples verify the effectiveness of the proposed method.