Xiaofei Xing , Lifei Wang , Huaiqin Wu , Jinde Cao , Xiao Peng
{"title":"R-L分数阶时滞系统的稳定性及其在时滞脉冲网络同步中的应用","authors":"Xiaofei Xing , Lifei Wang , Huaiqin Wu , Jinde Cao , Xiao Peng","doi":"10.1016/j.neunet.2025.107690","DOIUrl":null,"url":null,"abstract":"<div><div>This paper focuses on the <span><math><mi>θ</mi></math></span>-exponential synchronization for fractional-order complex networks (FOCNs) with Riemann–Liouville (R-L) fractional order, hybrid couplings, and short memory under delayed impulse effects. Firstly, A new <span><math><mi>θ</mi></math></span>-exponential stability criterion, which plays a crucial role for the network synchronization analysis later, is developed for delayed systems with R-L fractional order under delayed impulse effects, where the impulses can be stable or unstable, see Theorem 2.1. Secondly, the system model with respect to impulsive FOCNs with hybrid couplings and short memory under delayed impulse effects is established in the sense of R-L, which is more universal and practical. The novel feedback controller and adaptive feedback controller, are designed to realize the <span><math><mi>θ</mi></math></span>-exponential synchronization objective, respectively. In addition, by utilizing Lyapunov functional approach, fractional calculus, matrix inequality analysis techniques and proposed stability criterion, the <span><math><mi>θ</mi></math></span>-exponential synchronization conditions, which are associated with time delay and the order of systems, are derived in the form of linear matrix inequalities (LMIs). Finally, the numerical simulation result for Chua’s circuit networks, is provided to illustrate the validity of the obtained result and the effectiveness of the proposed control approach.</div></div>","PeriodicalId":49763,"journal":{"name":"Neural Networks","volume":"190 ","pages":"Article 107690"},"PeriodicalIF":6.3000,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stability of delayed systems with R-L fractional order and application to synchronization in networks with delayed impulses\",\"authors\":\"Xiaofei Xing , Lifei Wang , Huaiqin Wu , Jinde Cao , Xiao Peng\",\"doi\":\"10.1016/j.neunet.2025.107690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper focuses on the <span><math><mi>θ</mi></math></span>-exponential synchronization for fractional-order complex networks (FOCNs) with Riemann–Liouville (R-L) fractional order, hybrid couplings, and short memory under delayed impulse effects. Firstly, A new <span><math><mi>θ</mi></math></span>-exponential stability criterion, which plays a crucial role for the network synchronization analysis later, is developed for delayed systems with R-L fractional order under delayed impulse effects, where the impulses can be stable or unstable, see Theorem 2.1. Secondly, the system model with respect to impulsive FOCNs with hybrid couplings and short memory under delayed impulse effects is established in the sense of R-L, which is more universal and practical. The novel feedback controller and adaptive feedback controller, are designed to realize the <span><math><mi>θ</mi></math></span>-exponential synchronization objective, respectively. In addition, by utilizing Lyapunov functional approach, fractional calculus, matrix inequality analysis techniques and proposed stability criterion, the <span><math><mi>θ</mi></math></span>-exponential synchronization conditions, which are associated with time delay and the order of systems, are derived in the form of linear matrix inequalities (LMIs). Finally, the numerical simulation result for Chua’s circuit networks, is provided to illustrate the validity of the obtained result and the effectiveness of the proposed control approach.</div></div>\",\"PeriodicalId\":49763,\"journal\":{\"name\":\"Neural Networks\",\"volume\":\"190 \",\"pages\":\"Article 107690\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neural Networks\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0893608025005702\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neural Networks","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0893608025005702","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
Stability of delayed systems with R-L fractional order and application to synchronization in networks with delayed impulses
This paper focuses on the -exponential synchronization for fractional-order complex networks (FOCNs) with Riemann–Liouville (R-L) fractional order, hybrid couplings, and short memory under delayed impulse effects. Firstly, A new -exponential stability criterion, which plays a crucial role for the network synchronization analysis later, is developed for delayed systems with R-L fractional order under delayed impulse effects, where the impulses can be stable or unstable, see Theorem 2.1. Secondly, the system model with respect to impulsive FOCNs with hybrid couplings and short memory under delayed impulse effects is established in the sense of R-L, which is more universal and practical. The novel feedback controller and adaptive feedback controller, are designed to realize the -exponential synchronization objective, respectively. In addition, by utilizing Lyapunov functional approach, fractional calculus, matrix inequality analysis techniques and proposed stability criterion, the -exponential synchronization conditions, which are associated with time delay and the order of systems, are derived in the form of linear matrix inequalities (LMIs). Finally, the numerical simulation result for Chua’s circuit networks, is provided to illustrate the validity of the obtained result and the effectiveness of the proposed control approach.
期刊介绍:
Neural Networks is a platform that aims to foster an international community of scholars and practitioners interested in neural networks, deep learning, and other approaches to artificial intelligence and machine learning. Our journal invites submissions covering various aspects of neural networks research, from computational neuroscience and cognitive modeling to mathematical analyses and engineering applications. By providing a forum for interdisciplinary discussions between biology and technology, we aim to encourage the development of biologically-inspired artificial intelligence.