{"title":"不确定中性系统的事件触发量化稳定技术","authors":"Yingqi Zhang, Qing Zhang, Caixia Liu","doi":"10.1007/s12555-023-0230-0","DOIUrl":null,"url":null,"abstract":"<p>This paper investigates the event-triggered quantized stabilization of uncertain neutral systems. Specifically, based on the suitable Lyapunov functional and relax quadratic function negative determination property, event-triggered quantized controllers and other variable parameters are co-designed, allowing neutral network systems with or without uncertainties to stabilize asymptotically via variable separation approaches. Additionally, the feasible criteria are characterized as convex optimization problems. An example demonstrates the effectiveness and less conservativeness of the proposed method.</p>","PeriodicalId":54965,"journal":{"name":"International Journal of Control Automation and Systems","volume":"12 1","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Event-triggered Quantized Stabilization for Uncertain Neutral Systems\",\"authors\":\"Yingqi Zhang, Qing Zhang, Caixia Liu\",\"doi\":\"10.1007/s12555-023-0230-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This paper investigates the event-triggered quantized stabilization of uncertain neutral systems. Specifically, based on the suitable Lyapunov functional and relax quadratic function negative determination property, event-triggered quantized controllers and other variable parameters are co-designed, allowing neutral network systems with or without uncertainties to stabilize asymptotically via variable separation approaches. Additionally, the feasible criteria are characterized as convex optimization problems. An example demonstrates the effectiveness and less conservativeness of the proposed method.</p>\",\"PeriodicalId\":54965,\"journal\":{\"name\":\"International Journal of Control Automation and Systems\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Control Automation and Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s12555-023-0230-0\",\"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":"International Journal of Control Automation and Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s12555-023-0230-0","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}
Event-triggered Quantized Stabilization for Uncertain Neutral Systems
This paper investigates the event-triggered quantized stabilization of uncertain neutral systems. Specifically, based on the suitable Lyapunov functional and relax quadratic function negative determination property, event-triggered quantized controllers and other variable parameters are co-designed, allowing neutral network systems with or without uncertainties to stabilize asymptotically via variable separation approaches. Additionally, the feasible criteria are characterized as convex optimization problems. An example demonstrates the effectiveness and less conservativeness of the proposed method.
期刊介绍:
International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE).
The journal covers three closly-related research areas including control, automation, and systems.
The technical areas include
Control Theory
Control Applications
Robotics and Automation
Intelligent and Information Systems
The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.