{"title":"具有时变延迟的混沌 Lur'e 系统采样数据主从同步的新型等效互凸组合技术","authors":"Wenchengyu Ji, Yulian Jiang, Shenquan Wang","doi":"10.1002/asjc.3412","DOIUrl":null,"url":null,"abstract":"<p>For a class of master–slave (M-S) systems in chaotic Lur'e systems with time-varying delays, a sampled-data synchronization controller is designed, and a new synchronization stability condition is proposed in the form of linear matrix inequality. A novel Lyapunov-Krasovskii functional (LKF) is constructed by using the looped-functional method, and the positive definiteness condition of LKF including sampled-data parts is exchanged with a looping condition by constructing a functional, which should be equal at adjacent sampling times. The M-S synchronization condition is obtained utilizing the equivalent reciprocal convex combination approach combined with Bessel-Legendre integral inequality to estimate the LKF derivative. Different from previous methods, due to fully utilizing both nonlinearity and state information at the sampling time via the integral of error systems from the sampling time to current one, the M-S synchronization condition is less conservative, and obtained sampled-data controller possesses a longer sampling period. Finally, two numerical examples verify the superiority and validity of the approach.</p>","PeriodicalId":55453,"journal":{"name":"Asian Journal of Control","volume":"27 1","pages":"204-214"},"PeriodicalIF":2.7000,"publicationDate":"2024-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A novel equivalent reciprocal convex combination technique to sampled-data master–slave synchronization for chaotic Lur'e systems with time-varying delays\",\"authors\":\"Wenchengyu Ji, Yulian Jiang, Shenquan Wang\",\"doi\":\"10.1002/asjc.3412\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>For a class of master–slave (M-S) systems in chaotic Lur'e systems with time-varying delays, a sampled-data synchronization controller is designed, and a new synchronization stability condition is proposed in the form of linear matrix inequality. A novel Lyapunov-Krasovskii functional (LKF) is constructed by using the looped-functional method, and the positive definiteness condition of LKF including sampled-data parts is exchanged with a looping condition by constructing a functional, which should be equal at adjacent sampling times. The M-S synchronization condition is obtained utilizing the equivalent reciprocal convex combination approach combined with Bessel-Legendre integral inequality to estimate the LKF derivative. Different from previous methods, due to fully utilizing both nonlinearity and state information at the sampling time via the integral of error systems from the sampling time to current one, the M-S synchronization condition is less conservative, and obtained sampled-data controller possesses a longer sampling period. Finally, two numerical examples verify the superiority and validity of the approach.</p>\",\"PeriodicalId\":55453,\"journal\":{\"name\":\"Asian Journal of Control\",\"volume\":\"27 1\",\"pages\":\"204-214\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asian Journal of Control\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/asjc.3412\",\"RegionNum\":4,\"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":"Asian Journal of Control","FirstCategoryId":"94","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/asjc.3412","RegionNum":4,"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}
A novel equivalent reciprocal convex combination technique to sampled-data master–slave synchronization for chaotic Lur'e systems with time-varying delays
For a class of master–slave (M-S) systems in chaotic Lur'e systems with time-varying delays, a sampled-data synchronization controller is designed, and a new synchronization stability condition is proposed in the form of linear matrix inequality. A novel Lyapunov-Krasovskii functional (LKF) is constructed by using the looped-functional method, and the positive definiteness condition of LKF including sampled-data parts is exchanged with a looping condition by constructing a functional, which should be equal at adjacent sampling times. The M-S synchronization condition is obtained utilizing the equivalent reciprocal convex combination approach combined with Bessel-Legendre integral inequality to estimate the LKF derivative. Different from previous methods, due to fully utilizing both nonlinearity and state information at the sampling time via the integral of error systems from the sampling time to current one, the M-S synchronization condition is less conservative, and obtained sampled-data controller possesses a longer sampling period. Finally, two numerical examples verify the superiority and validity of the approach.
期刊介绍:
The Asian Journal of Control, an Asian Control Association (ACA) and Chinese Automatic Control Society (CACS) affiliated journal, is the first international journal originating from the Asia Pacific region. The Asian Journal of Control publishes papers on original theoretical and practical research and developments in the areas of control, involving all facets of control theory and its application.
Published six times a year, the Journal aims to be a key platform for control communities throughout the world.
The Journal provides a forum where control researchers and practitioners can exchange knowledge and experiences on the latest advances in the control areas, and plays an educational role for students and experienced researchers in other disciplines interested in this continually growing field. The scope of the journal is extensive.
Topics include:
The theory and design of control systems and components, encompassing:
Robust and distributed control using geometric, optimal, stochastic and nonlinear methods
Game theory and state estimation
Adaptive control, including neural networks, learning, parameter estimation
and system fault detection
Artificial intelligence, fuzzy and expert systems
Hierarchical and man-machine systems
All parts of systems engineering which consider the reliability of components and systems
Emerging application areas, such as:
Robotics
Mechatronics
Computers for computer-aided design, manufacturing, and control of
various industrial processes
Space vehicles and aircraft, ships, and traffic
Biomedical systems
National economies
Power systems
Agriculture
Natural resources.