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Distributed fault estimation of networked systems using quantized measurements

机译:使用量化测量的网络系统的分布式故障估计

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This paper is concerned with the problem of distributed fault estimation for networked systems using quantized measurements. In the proposed distributed scheme each estimator provides a fault estimate by adopting both its local measurement and information from neighbors, which are quantized before transmission due to the limited bandwidth resource. A sector bound approach is firstly introduced to handle the quantization error. Then the dynamics of estimation errors are modeled as a system with uncertainties. Based on the Lyapunov stability theory, a sufficient condition is derived such that the estimation error system is asymptotically stable and achieves a prescribed H noise attenuation performance. A convex optimization problem is formulated for designing the desired distributed estimators. Finally, an illustrative example is presented to demonstrate the effectiveness of the proposed design method.
机译:本文涉及使用量化测量的网络系统的分布式故障估计问题。 在所提出的分布式方案中,每个估计器通过采用其来自邻居的本地测量和信息,这些估算器提供故障估计,这些邻居在传输引起的带宽资源之前被量化。 首先引入扇区绑定方法来处理量化误差。 然后,估计误差的动态被建模为具有不确定性的系统。 基于Lyapunov稳定性理论,得出了足够的条件,使得估计误差系统是渐近稳定的并且实现规定的H噪声衰减性能。 配方用于设计所需分布式估计器的凸优化问题。 最后,提出了说明性示例以证明所提出的设计方法的有效性。

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