Congyue Bi , Zhouhong Li , Jinde Cao , Xiaofang Meng , Hanen Karamti
{"title":"延迟四元数神经网络的滑模同步控制及其应用","authors":"Congyue Bi , Zhouhong Li , Jinde Cao , Xiaofang Meng , Hanen Karamti","doi":"10.1016/j.jfranklin.2025.107926","DOIUrl":null,"url":null,"abstract":"<div><div>This paper uses a non-decomposition method to study the sliding mode synchronization problem of a quaternion-valued neural network model with delay and external disturbance. The process involves designing a disturbance observer for the error system and selecting a suitable integral sliding surface. Based on this, an effective sliding mode controller is designed. The paper then presents the sufficient criterion for sliding mode synchronization, obtained using the inequality technique by constructing a Lyapunov function independent of the time delay. The reachability analysis of the sliding surface is also provided, enabling the state trajectory of the closed-loop dynamic error system to be driven to the predetermined sliding surface within a limited time. The paper concludes with the verification of the research’s conclusions through numerical examples. The research is applied to image encryption and decryption, demonstrating the practical relevance of the findings, and valid statistical comparisons are also conducted.</div></div>","PeriodicalId":17283,"journal":{"name":"Journal of The Franklin Institute-engineering and Applied Mathematics","volume":"362 13","pages":"Article 107926"},"PeriodicalIF":3.7000,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sliding mode synchronization control of delayed quaternion-valued neural networks and its application\",\"authors\":\"Congyue Bi , Zhouhong Li , Jinde Cao , Xiaofang Meng , Hanen Karamti\",\"doi\":\"10.1016/j.jfranklin.2025.107926\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper uses a non-decomposition method to study the sliding mode synchronization problem of a quaternion-valued neural network model with delay and external disturbance. The process involves designing a disturbance observer for the error system and selecting a suitable integral sliding surface. Based on this, an effective sliding mode controller is designed. The paper then presents the sufficient criterion for sliding mode synchronization, obtained using the inequality technique by constructing a Lyapunov function independent of the time delay. The reachability analysis of the sliding surface is also provided, enabling the state trajectory of the closed-loop dynamic error system to be driven to the predetermined sliding surface within a limited time. The paper concludes with the verification of the research’s conclusions through numerical examples. The research is applied to image encryption and decryption, demonstrating the practical relevance of the findings, and valid statistical comparisons are also conducted.</div></div>\",\"PeriodicalId\":17283,\"journal\":{\"name\":\"Journal of The Franklin Institute-engineering and Applied Mathematics\",\"volume\":\"362 13\",\"pages\":\"Article 107926\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of The Franklin Institute-engineering and Applied Mathematics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0016003225004193\",\"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":"Journal of The Franklin Institute-engineering and Applied Mathematics","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0016003225004193","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}
Sliding mode synchronization control of delayed quaternion-valued neural networks and its application
This paper uses a non-decomposition method to study the sliding mode synchronization problem of a quaternion-valued neural network model with delay and external disturbance. The process involves designing a disturbance observer for the error system and selecting a suitable integral sliding surface. Based on this, an effective sliding mode controller is designed. The paper then presents the sufficient criterion for sliding mode synchronization, obtained using the inequality technique by constructing a Lyapunov function independent of the time delay. The reachability analysis of the sliding surface is also provided, enabling the state trajectory of the closed-loop dynamic error system to be driven to the predetermined sliding surface within a limited time. The paper concludes with the verification of the research’s conclusions through numerical examples. The research is applied to image encryption and decryption, demonstrating the practical relevance of the findings, and valid statistical comparisons are also conducted.
期刊介绍:
The Journal of The Franklin Institute has an established reputation for publishing high-quality papers in the field of engineering and applied mathematics. Its current focus is on control systems, complex networks and dynamic systems, signal processing and communications and their applications. All submitted papers are peer-reviewed. The Journal will publish original research papers and research review papers of substance. Papers and special focus issues are judged upon possible lasting value, which has been and continues to be the strength of the Journal of The Franklin Institute.