{"title":"具有混合延迟和欺骗攻击的高度非线性混合随机系统的动态事件触发控制","authors":"Hairui Zhao , Dongyan Chen , Jun Hu","doi":"10.1016/j.ejcon.2025.101281","DOIUrl":null,"url":null,"abstract":"<div><div>This paper addresses the issue of event-triggered control for highly nonlinear hybrid stochastic systems with mixed delays. The main objective is to stabilize the stochastic systems while conserving communication resources. To achieve this aim, a dynamic event-triggered control strategy based on the aperiodic sampling mechanism is employed and two network phenomena during signal transmission including transmission delay and deception attacks are addressed. The existence and uniqueness of the global solution are analyzed under the assumption that the nonlinear coefficients satisfy the polynomial growth condition. By utilizing the Lyapunov stability theory and the <span><math><mi>M</mi></math></span>-matrix technique, sufficient criteria are proposed to ensure the desired <span><math><mi>p</mi></math></span>th moment asymptotic stability and <span><math><mi>p</mi></math></span>th moment exponential stability of the controlled stochastic systems. Finally, a numerical example is given in order to verify the possibility of the proposed theoretical results.</div></div>","PeriodicalId":50489,"journal":{"name":"European Journal of Control","volume":"85 ","pages":"Article 101281"},"PeriodicalIF":2.6000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dynamic event-triggered control for highly nonlinear hybrid stochastic systems with mixed delays and deception attacks\",\"authors\":\"Hairui Zhao , Dongyan Chen , Jun Hu\",\"doi\":\"10.1016/j.ejcon.2025.101281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper addresses the issue of event-triggered control for highly nonlinear hybrid stochastic systems with mixed delays. The main objective is to stabilize the stochastic systems while conserving communication resources. To achieve this aim, a dynamic event-triggered control strategy based on the aperiodic sampling mechanism is employed and two network phenomena during signal transmission including transmission delay and deception attacks are addressed. The existence and uniqueness of the global solution are analyzed under the assumption that the nonlinear coefficients satisfy the polynomial growth condition. By utilizing the Lyapunov stability theory and the <span><math><mi>M</mi></math></span>-matrix technique, sufficient criteria are proposed to ensure the desired <span><math><mi>p</mi></math></span>th moment asymptotic stability and <span><math><mi>p</mi></math></span>th moment exponential stability of the controlled stochastic systems. Finally, a numerical example is given in order to verify the possibility of the proposed theoretical results.</div></div>\",\"PeriodicalId\":50489,\"journal\":{\"name\":\"European Journal of Control\",\"volume\":\"85 \",\"pages\":\"Article 101281\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0947358025001104\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"AUTOMATION & CONTROL SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0947358025001104","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
Dynamic event-triggered control for highly nonlinear hybrid stochastic systems with mixed delays and deception attacks
This paper addresses the issue of event-triggered control for highly nonlinear hybrid stochastic systems with mixed delays. The main objective is to stabilize the stochastic systems while conserving communication resources. To achieve this aim, a dynamic event-triggered control strategy based on the aperiodic sampling mechanism is employed and two network phenomena during signal transmission including transmission delay and deception attacks are addressed. The existence and uniqueness of the global solution are analyzed under the assumption that the nonlinear coefficients satisfy the polynomial growth condition. By utilizing the Lyapunov stability theory and the -matrix technique, sufficient criteria are proposed to ensure the desired th moment asymptotic stability and th moment exponential stability of the controlled stochastic systems. Finally, a numerical example is given in order to verify the possibility of the proposed theoretical results.
期刊介绍:
The European Control Association (EUCA) has among its objectives to promote the development of the discipline. Apart from the European Control Conferences, the European Journal of Control is the Association''s main channel for the dissemination of important contributions in the field.
The aim of the Journal is to publish high quality papers on the theory and practice of control and systems engineering.
The scope of the Journal will be wide and cover all aspects of the discipline including methodologies, techniques and applications.
Research in control and systems engineering is necessary to develop new concepts and tools which enhance our understanding and improve our ability to design and implement high performance control systems. Submitted papers should stress the practical motivations and relevance of their results.
The design and implementation of a successful control system requires the use of a range of techniques:
Modelling
Robustness Analysis
Identification
Optimization
Control Law Design
Numerical analysis
Fault Detection, and so on.