Minimum-variance unbiased unknown input and state estimation for multi-agent systems with direct feedthrough by using distributed cooperative filters

Changqing Liu; Youqing Wang

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Minimum-variance unbiased unknown input and state estimation for multi-agent systems with direct feedthrough by using distributed cooperative filters

机译：具有分布式馈通的直接馈通的多主体系统的最小方差无偏未知输入和状态估计

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摘要

This paper addresses the problem of simultaneous estimation of unknown inputs and states in multi-agent systems with direct feedthrough. A group of cooperative distributed recursive filters, in the sense of minimum-variance unbiased (MVU), is developed, where the estimations of the unknown input and state are interconnected. Theoretical and numerical analyses show that the existing condition of the proposed filters is significantly relaxed compared with that of the conventional decentralized filters.

机译：本文解决了在具有直接馈通的多代理系统中同时估计未知输入和状态的问题。在最小方差无偏（MVU）的意义上，开发了一组协作式分布式递归滤波器，其中未知输入和状态的估计相互关联。理论和数值分析表明，与传统的分散式过滤器相比，所提出的过滤器的现有条件得到了极大的放松。

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《IFAC PapersOnLine》 |2018年第24期|共6页
作者
Changqing Liu; Youqing Wang;
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正文语种
中图分类自动化技术、计算机技术;
关键词
MVU estimationmulti-agent systemdirect feedthroughdistributed cooperative filters;

机译：MVU估计多智能体系统直接馈送分布式协同滤波器;

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专利

1. Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough [J] . Steven Gillijns, Bart De Moor Automatica . 2007,第5期

机译：具有直接馈通的线性离散时间系统的无偏差最小方差输入和状态估计
2. Unscented Kalman Filter-Based Unbiased Minimum-Variance Estimation for Nonlinear Systems With Unknown Inputs [J] . Zongsheng Zheng, Junbo Zhao, Lamine Mili, IEEE signal processing letters . 2019,第8期

机译：具有未知输入的非线性系统基于Unscented卡尔曼滤波器的无偏最小方差估计
3. Unbiased minimum-variance input and state estimation for systems with unknown inputs: A system reformation approach* [J] . Hsieh Chien-Shu Automatica . 2017,第期

机译：有未知输入的系统的无偏见最小值输入和状态估计：系统改革方法*
4. Improved Distributed Cooperative Filters for Minimum-Variance Unbiased Estimation of Unknown Inputs and States in Multi-Agent Systems [C] . YuKun Shi, ChangQing Liu, YouQing Wang International Conference on Information, Cybernetics, and Computational Social Systems . 2018

机译：改进的分布式协作滤波器，用于多智能体系统中未知输入和状态的最小方差无偏估计
5. Cooperative Filtering, Identification, and Mapping for Spatially Distributed Systems Using Mobile Sensor Networks [D] . You, Jie 2018

机译：使用移动传感器网络的空间分布系统的协同滤波，识别和映射
6. Globally Optimal Distributed Kalman Filtering for Multisensor Systems with Unknown Inputs [O] . Yali Ruan, Yingting Luo, Yunmin Zhu 2018

机译：输入未知的多传感器系统的全局最优分布式卡尔曼滤波
7. Unbiased Minimum-Variance Filter for State and Fault Estimation of Linear Time-Varying Systems with Unknown Disturbances [O] . Fayçal Ben Hmida, Karim Khémiri, José Ragot, 2010

机译：具有未知干扰的线性时变系统的状态和故障估计的无偏见最小方差滤波器

Minimum-variance unbiased unknown input and state estimation for multi-agent systems with direct feedthrough by using distributed cooperative filters

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