Consensus-based algorithms for distributed filtering
Consensus-based algorithms for distributed filtering
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DOI：
10.1109/cdc.2012.6426435
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发表时间：
2012-12
期刊：
影响因子：
--
通讯作者：
G. Battistelli;L. Chisci;G. Mugnai;A. Farina;A. Graziano
中科院分区：
文献类型：
--
作者：
G. Battistelli;L. Chisci;G. Mugnai;A. Farina;A. Graziano
研究了传感器网络中的分布式状态估计问题。将已有的两种线性系统DSE的一致性方法--信息一致性方法（consensus on information，CI）和测量一致性方法（consensus on measurement，CM）推广到非线性系统。此外，一种新的混合共识的方法，利用CM和CI（命名为HCMCI=混合CM + CI），以联合收割机，以结合他们的互补优势。新的理论结果，仅限于线性系统，在最低要求（即集体可观性和网络连通性）下的HMCCI滤波器的保证稳定性证明。最后，一个模拟案例研究，以比较显示所提出的基于共识的状态估计的有效性。
The paper addresses Distributed State Estimation (DSE) over sensor networks. Two existing consensus approaches for DSE of linear systems, named consensus on information (CI) and consensus on measurements (CM), are extended to nonlinear systems. Further, a novel hybrid consensus approach exploiting both CM and CI (named HCMCI=Hybrid CM + CI) is introduced in order to combine their complementary benefits. Novel theoretical results, limitedly to linear systems, on the guaranteed stability of the HCMCI filter under minimal requirements (i.e. collective observability and network connectivity) are proved. Finally, a simulation case-study is presented in order to comparatively show the effectiveness of the proposed consensus-based state estimators.