文献类型：期刊文献

英文题名：Sensor selection for remote state estimation with QoS requirement constraints

作者：Yang, Huiwen[1];Huang, Lingying[2];Yang, Chao[3];Mo, Yilin[4,5];Shi, Ling[1]

机构：[1]Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Peoples R China;[2]Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore, Singapore;[3]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai, Peoples R China;[4]Tsinghua Univ, Dept Automat, Beijing, Peoples R China;[5]Tsinghua Univ, BNRist, Beijing, Peoples R China

年份：2023

卷号：157

外文期刊名：AUTOMATICA

收录：;EI(收录号：20230238485);WOS:【SCI-EXPANDED(收录号:WOS:001066534000001)】；

语种：英文

外文关键词：Remote state estimation; QoS requirement; SCA

摘要：In this paper, we study the sensor selection problem for remote state estimation under the Quality of-Service (QoS) requirement constraints. Multiple sensors are employed to observe a linear time invariant system, and their measurements should be transmitted to a remote estimator for state estimation. However, due to the limited communication resources and the QoS requirement constraints, only some of the sensors can be allowed to transmit their measurements. To estimate the system state as accurately as possible, it is essential to select sensors for transmission appropriately. We formulate the sensor selection problem as a non-convex optimization problem. It is difficult to solve such a problem and even to find a feasible solution. To obtain a solution which can achieve good estimation performance, we first reformulate and relax the formulated problem. Then, we propose an algorithm based on successive convex approximation (SCA) to solve the relaxed problem. By utilizing the solution of the relaxed problem, we propose a heuristic sensor selection algorithm which can provide a good suboptimal solution. Simulation results are presented to show the effectiveness of the proposed heuristic.& COPY; 2023 Elsevier Ltd. All rights reserved.