This article presents an event-based framework for nonfragile state estimation in memristor-driven competitive neural networks,which are particularly vulnerable to stochastic cyber attacks and sensor saturation.Often,...This article presents an event-based framework for nonfragile state estimation in memristor-driven competitive neural networks,which are particularly vulnerable to stochastic cyber attacks and sensor saturation.Often,unnecessary signals burden the communication bandwidth when transmitted to the estimator.To address this,the article proposes a dynamic event-triggered mechanism that carefully transmits relevant data.Unlike a static event-trigger,this approach optimizes data transmission.By constructing proper Lyapunov-Krasovskii functional the authors establish delay-dependent criteria expressed as linear matrix inequalities to ensure asymptotic stability of the system.To showcase the advantages of the proposed criteria and confirm their practical relevance,two well-established benchmark problems including a quadruple-tank control system are examined.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.62573122)the Fundamental Research Funds for the Central Universities(Grant No.2242025K30025)+2 种基金the Open Research Project of State Key Laboratory of Industrial Control Technology,China(Grant No.ICT2025B37)the Open Research Project of the Key Laboratory of Numerical Simulation for Large Scale Complex Systems,Ministry of Education,China(Grant No.NSLSCS202502)the Jiangsu Provincial Scientific Research Center of Applied Mathematics(Grant No.BK20233002)。
文摘This article presents an event-based framework for nonfragile state estimation in memristor-driven competitive neural networks,which are particularly vulnerable to stochastic cyber attacks and sensor saturation.Often,unnecessary signals burden the communication bandwidth when transmitted to the estimator.To address this,the article proposes a dynamic event-triggered mechanism that carefully transmits relevant data.Unlike a static event-trigger,this approach optimizes data transmission.By constructing proper Lyapunov-Krasovskii functional the authors establish delay-dependent criteria expressed as linear matrix inequalities to ensure asymptotic stability of the system.To showcase the advantages of the proposed criteria and confirm their practical relevance,two well-established benchmark problems including a quadruple-tank control system are examined.
