Recursive Fault Estimation With Energy Harvesting Sensors and Uniform Quantization Effects

作     者：Yu-Ang Wang Bo Shen Lei Zou Yu-Ang Wang;Bo Shen;Lei Zou

作者机构：College of Information Science and TechnologyDonghua UniversityShanghai 201620 Engineering Research Center of Digitalized Textile and Fashion TechnologyMinistry of EducationShanghai 201620China IEEE 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2022年第9卷第5期

页      面：926-929页

核心收录：

学科分类：0711[理学-系统科学] 08[工学] 080202[工学-机械电子工程] 0802[工学-机械工程] 0811[工学-控制科学与工程] 

基　　金：supported in part by the National Natural Science Foundation of China (61873059, 61922024) the Program of Shanghai Academic/Technology Research Leader (20XD1420100) 

主　　题：method estimation estimator 

摘      要：Dear Editor,In this letter,the recursive fault estimation issue is considered for nonlinear time-varying systems subject to the effects induced by energy harvesting sensors and uniform quantization.Based on the energy harvesting mechanism and stochastic distribution of the absorbed energy,the real-time occurrence probability of missing measurements is calculated recursively.This research intends to develop a recursive estimator for the considered nonlinear time-varying system with energy harvesting sensors,such that,under uniform quantization effects,the state and fault can be jointly estimated.By adopting the induction approach,an upper bound is firstly calculated for the estimation error covariances(EECs)of the state and fault.Then,the value of the time-varying estimator parameter is computed through minimizing such calculated upper bound.In the end,an illustrative example is presented to verify the availability of the developed fault estimation method.