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循环轮询协议下具有分布式时延的网络化多速率多传感器系统的递归状态估计

Recursive State Estimation for Networked Multirate Multisensor Systems With Distributed Time-Delays Under Round-Robin Protocol.

作者信息

Shen Yuxuan, Wang Zidong, Shen Bo, Han Qing-Long

出版信息

IEEE Trans Cybern. 2022 Jun;52(6):4136-4146. doi: 10.1109/TCYB.2020.3021350. Epub 2022 Jun 16.

Abstract

This article is concerned with the problem of recursive state estimation for a class of multirate multisensor systems with distributed time delays under the round-robin (R-R) protocol. The state updating period of the system and the sampling period of the sensors are allowed to be different so as to reflect the engineering practice. An iterative method is presented to transform the multirate system into a single-rate one, thereby facilitating the system analysis. The R-R protocol is introduced to determine the transmission sequence of sensors with the aim to alleviate undesirable data collisions. Under the R-R protocol scheduling, only one sensor can get access to transmit its measurement at each sampling time instant. The main purpose of this article is to develop a recursive state estimation scheme such that an upper bound on the estimation error covariance is guaranteed and then locally minimized through adequately designing the estimator parameter. Finally, simulation examples are provided to show the effectiveness of the proposed estimator design scheme.

摘要

本文关注一类在循环(R-R)协议下具有分布式时滞的多速率多传感器系统的递归状态估计问题。允许系统的状态更新周期和传感器的采样周期不同,以反映工程实际情况。提出了一种迭代方法将多速率系统转换为单速率系统,从而便于系统分析。引入R-R协议来确定传感器的传输顺序,旨在减轻不良的数据冲突。在R-R协议调度下,每个采样时刻只有一个传感器能够接入传输其测量值。本文的主要目的是开发一种递归状态估计方案,通过充分设计估计器参数,保证估计误差协方差的上界并使其局部最小化。最后,给出仿真例子以说明所提出的估计器设计方案的有效性。

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