{"title":"Distributed Estimation by Partial Sensor Measurements Through Transmission Scheduling for Stochastic Systems","authors":"Yun Chen;Yuhang Jin;Jianjun Bai;Mengze Zhu","doi":"10.1109/TSIPN.2023.3329301","DOIUrl":null,"url":null,"abstract":"This paper is concerned with the partial-sensor-measurements-based (PSMB) distributed estimation problem for a class of stochastic systems (SSs) with randomly occurring nonlinearities, persistent bounded noises and quantization effects. The observations of partial sensor nodes are available to be transmitted to the estimators. In order to enhance the utilization efficiency of limited resources, the Round-Robin protocol is deployed to schedule the data transmissions over communication networks. The sufficient condition is established to guarantee the mean-square exponential ultimate boundedness of the augmented estimation error system (AEES), and then the desired PSMB estimator gains are determined by minimizing the mean-square upper bound of the augmented estimation error vector subject to iterative matrix inequalities. Finally, an illustrative example demonstrates the effectiveness of proposed estimation scheme.","PeriodicalId":56268,"journal":{"name":"IEEE Transactions on Signal and Information Processing over Networks","volume":"9 ","pages":"800-810"},"PeriodicalIF":3.0000,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Signal and Information Processing over Networks","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10309250/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
This paper is concerned with the partial-sensor-measurements-based (PSMB) distributed estimation problem for a class of stochastic systems (SSs) with randomly occurring nonlinearities, persistent bounded noises and quantization effects. The observations of partial sensor nodes are available to be transmitted to the estimators. In order to enhance the utilization efficiency of limited resources, the Round-Robin protocol is deployed to schedule the data transmissions over communication networks. The sufficient condition is established to guarantee the mean-square exponential ultimate boundedness of the augmented estimation error system (AEES), and then the desired PSMB estimator gains are determined by minimizing the mean-square upper bound of the augmented estimation error vector subject to iterative matrix inequalities. Finally, an illustrative example demonstrates the effectiveness of proposed estimation scheme.
期刊介绍：
The IEEE Transactions on Signal and Information Processing over Networks publishes high-quality papers that extend the classical notions of processing of signals defined over vector spaces (e.g. time and space) to processing of signals and information (data) defined over networks, potentially dynamically varying. In signal processing over networks, the topology of the network may define structural relationships in the data, or may constrain processing of the data. Topics include distributed algorithms for filtering, detection, estimation, adaptation and learning, model selection, data fusion, and diffusion or evolution of information over such networks, and applications of distributed signal processing.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
