具有同源未知输入的稳定分布非线性滤波器设计

2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Pub Date : 2022-11-19 DOI:10.1109/YAC57282.2022.10023712

Changqing Liu, Hao Zhang, K. Fu, Shu Liu

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引用次数: 0

摘要

针对非线性多智能体系统，提出了一种分布式滤波器。采用无气味卡尔曼滤波(UKF)建立估计。与以往的研究相比，本文提出了一个更实用的工业模型。利用同源ui的邻居信息对同源ui进行估计。分析了基于ukf的分布式滤波器的随机稳定性。通过仿真部分对该方法进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Stable Distributed Nonlinear Filters Design with Homologous Unknown Inputs

This study proposes a distributed filter for nonlinear multi-agent system. The unscented Kalman filter (UKF) is adopted to establish the estimation. Compared with the previous research, this paper proposes a more practical model for industrial. The neighbors’ information of the homologous UIs are adopted to estimate the homologous UIs. The stochastic stability of the UKF-based distributed filter is analyzed. The simulation part, a adopted to validate the method.

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2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)

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