Identification of Linear Systems Using Binary Sensors with Random Thresholds  

作　　者：HUANG Zhiyong SONG Qijiang 

机构地区：[1]School of Mathematics,Renmin University of China,Beijing 100872,China [2]School of Mathematics,Sino-French Institute,Renmin University of China,Beijing 100872,China

出　　处：《Journal of Systems Science & Complexity》2024年第3期907-923,共17页系统科学与复杂性学报（英文版）

摘　　要：In this paper,the problem of identifying autoregressive-moving-average systems under random threshold binary-valued output measurements is considered.With the help of stochastic approximation algorithms with expanding truncations,the authors give the recursive estimates for the parameters of both the linear system and the binary sensor.Under reasonable conditions,all constructed estimates are proved to be convergent to the true values with probability one,and the convergence rates are also established.A simulation example is provided to justify the theoretical results.

关 键 词：Α-MIXING binary sensor quantized system stochastic approximation stochastic thresh-old strongly consistent system identification 

分 类 号：N945.14[自然科学总论—系统科学] TP212[自动化与计算机技术—检测技术与自动化装置]