空间控制技术与应用2023，Vol.49Issue(6)：104-112,9.DOI:10.3969/j.issn.1674-1579.2023.06.011
受限通信下线性系统辨识的多敏感器分配研究
Multi-Sensor Allocation Strategy for Linear System Identification Under Constrained Communication Resources
摘要
Abstract
This paper investigates the multi-sensor allocation strategy problem for linear system identification in a networked environment.A binary quantization mechanism is introduced to save communication bandwidth.For ad-dressing the redundancy and channel congestion issues during data transmission,a differential event-driven commu-nication mechanism is proposed,and its communication rate is provided.It is shown that such mechanism has the capability of complete information recovery.Based on the available data at the receiving end,identification algo-rithms for various finite impulse response systems are constructed,and their convergence performance is analyzed.Furthermore,the multi-sensor allocation problem under constrained communication resources is modeled as a con-strained optimization problem,and an improved genetic algorithm is designed to give the optimal solution.Finally,a numerical example is used to verify the correctness and effectiveness of theoretical results.关键词
多敏感器/系统辨识/事件驱动/通信资源受限Key words
multi-sensor/system identification/event-driven mechanism/constrained communication resources分类
信息技术与安全科学引用本文复制引用
蔺凤琴,梁栋,殷庆虎,于鹏..受限通信下线性系统辨识的多敏感器分配研究[J].空间控制技术与应用,2023,49(6):104-112,9.基金项目
国家自然科学基金资助项目(62173030)和北京市自然科学基金资助项目(4222050)Supported by National Natural Science Foundation of China(62173030)and Beijing Natural Science Foundation(4222050) （62173030）
