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arXiv · 2012.13155

Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise

Li Liu·Wenju Zhou·Minrui Fei·Zhile Yang·Hongyong Yang·Huiyu Zhou
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Abstract

This paper investigates an issue of distributed fusion estimation under network-induced complexity and stochastic parameter uncertainties. First, a novel signal selection method based on event-trigger is developed to handle network-induced packet dropouts as well as packet disorders resulting from random transmission delays, where the ${H_2}/{H_\infty }$ performance of the system is analyzed in different noise environments. In addition, a linear delay compensation strategy is further employed for solving the complexity network-induced problem, which may deteriorate the system performance. Moreover, a weighted fusion scheme is used to integrate multiple resources through an error cross-covariance matrix. Several case studies validate the proposed algorithm and demonstrate satisfactory system performance in target tracking.

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Li Liu, Wenju Zhou, Minrui Fei, Zhile Yang, Hongyong Yang, Huiyu Zhou. 2020-12-24. Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise. https://arxiv.org/abs/2012.13155

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