Event-based non-fragile state estimation for time-varying systems under deception attacks  

作　　者：Xiao-Meng LI Tao ZOU Renquan LU Zhijia ZHAO 

机构地区：[1]School of Mechanical and Electrical Engineering,Guangzhou University,Guangzhou 510006,China [2]School of Automation,Guangdong Hong Kong Joint Laboratory for Intelligent Decision and Cooperative Control,Guangdong University of Technology,Guangzhou 510006,China

出　　处：《Science China(Information Sciences)》2025年第4期345-358,共14页中国科学(信息科学)(英文版)

基　　金：partially supported by National Natural Science Foundation of China(Grant No.62303125);Guangdong Basic and Applied Basic Research Foundation(Grant No.2022A1515110949),Guangdong Basic and Applied Basic Research Foundation(Grant No.2023A1515011311);Open Fund of Guangdong Province Key Laboratory of Intelligent Decision and Cooperative Control。

摘　　要：This paper addresses the challenge of dynamic event-based non-fragile state estimation for discrete time-varying systems under deception attacks.These attacks involve injecting deceptive signals into the communication channel,which can consume limited network resources and disrupt system estimation tasks.To tackle this issue,the study introduces a comprehensive and realistic deception attack model that accounts for the various hard physical constraints.To mitigate the influence of these attacks and reduce communication demands,a dynamic event-triggered scheme that uses dynamic threshold parameters is developed.The main purpose of the addressed problem is to design an event-based non-fragile estimator that ensures the estimation error systems meet the H_(∞)performance constraint over a finite horizon.The paper provides two key criteria to ensure the existence of the proposed estimator,leveraging stochastic analysis techniques.The desired estimator gains are determined using a recursive process of solving matrix inequalities.Finally,a numerical example illustrates the effectiveness of the developed event-based non-fragile estimator design method.

关 键 词：discrete time-varying systems deception attacks dynamic event-triggered mechanism finite horizon non-fragile estimation 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]