多层次量化线性复杂网络的分散估计

IF 4.8 2区计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS

Automatica Pub Date : 2025-06-13 DOI:10.1016/j.automatica.2025.112401

Dongdong Yu , Yuanqing Xia , Di-Hua Zhai , Yuan Zhang

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引用次数: 0

摘要

研究了一类具有通信约束的离散时间线性复杂网络的分散状态估计问题。由于通信带宽和辐射功率有限，采用多级量化（MLQ）方案对传感器到估计器通信信道上传输的测量创新进行压缩。在每个节点上，通过顺序融合相应传感器的量化创新来构造改进的近似最小均方误差估计量。所设计的估计器是一个分散的框架，它依赖于相邻节点的状态估计和估计误差协方差。通过最小化估计误差协方差得到量化水平，并建立了保证各节点估计误差协方差有界的充分条件。最后，仿真结果验证了分散估计算法的有效性。

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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Decentralized estimation for linear complex networks with multi-level quantization

This paper addresses the decentralized state estimation problem for a class of discrete-time linear complex networks under communication constraints. Due to the limited communication bandwidth and radiated power, a multi-level quantization (MLQ) scheme is utilized to compress the measurement innovations transmitted over the sensor-to-estimator communication channel. In each node, a modified approximate minimum mean-square error (MMSE) estimator is constructed by sequentially fusing the quantized innovations from the corresponding sensors. The designed estimator is of a decentralized framework and relies on the state estimates and estimation error covariances from neighboring nodes. Furthermore, the quantization levels are obtained by minimizing the estimation error covariance and a sufficient condition is established to ensure the bounded estimation error covariance in each node. Finally, simulation results demonstrate the effectiveness of the proposed decentralized estimation algorithm.

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来源期刊

Automatica 工程技术-工程：电子与电气

CiteScore

10.70

自引率

7.80%

发文量

617

审稿时长

5 months

期刊介绍： Automatica is a leading archival publication in the field of systems and control. The field encompasses today a broad set of areas and topics, and is thriving not only within itself but also in terms of its impact on other fields, such as communications, computers, biology, energy and economics. Since its inception in 1963, Automatica has kept abreast with the evolution of the field over the years, and has emerged as a leading publication driving the trends in the field. After being founded in 1963, Automatica became a journal of the International Federation of Automatic Control (IFAC) in 1969. It features a characteristic blend of theoretical and applied papers of archival, lasting value, reporting cutting edge research results by authors across the globe. It features articles in distinct categories, including regular, brief and survey papers, technical communiqués, correspondence items, as well as reviews on published books of interest to the readership. It occasionally publishes special issues on emerging new topics or established mature topics of interest to a broad audience. Automatica solicits original high-quality contributions in all the categories listed above, and in all areas of systems and control interpreted in a broad sense and evolving constantly. They may be submitted directly to a subject editor or to the Editor-in-Chief if not sure about the subject area. Editorial procedures in place assure careful, fair, and prompt handling of all submitted articles. Accepted papers appear in the journal in the shortest time feasible given production time constraints.