文献类型：期刊文献

英文题名：SUBMODULARITY-BASED SENSOR SCHEDULING FOR STATE ESTIMATION AMONG MULTIPLE LINEAR DYNAMICAL SYSTEMS

作者：Ni, Yuqing[1]; Yang, Chao[2]; Liu, Xiaochen[3]; Luan, Xiaoli[1]; Liu, Fei[1]

机构：[1] The Key Laboratory of Advanced Process Control for Light Industry [Ministry of Education], School of Internet of Things Engineering, Jiangnan University, Wuxi, China; [2] The Key Laboratory of Smart Manufacturing in Energy Chemical Process [Ministry of Education], Department of Automation, East China University of Science and Technology, Shanghai, China; [3] Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, United States

年份：2022

卷号：2022

期号：24

起止页码：34

外文期刊名：IET Conference Proceedings

收录：EI(收录号：20232114137617)

语种：英文

外文关键词：Dynamical systems - Linear control systems - Scheduling algorithms - Wireless sensor networks

摘要：In this paper we focus on the sensor scheduling for dynamic state estimation among multiple processes. Multiple sensors transmit their measurements to the remote estimator via a shared wireless channel. Only a subset of sensors are allowed to transmit at each time. The objective of the scheduler is to maximize a linear combination of the terminal time estimation error covariances in a log-determinant sense. We develop conditions under which the objective is monotone and submodular. A submodularity-based greedy scheduling algorithm is proposed, and its performance bound is provided. Numerical examples are presented to illustrate the theoretical findings. Copyright? JACA 2022 All rights reserved.