{"title":"基于模糊滑模控制的稳定AQM控制器设计","authors":"Feng-jie Yin, Jian-sheng Xue, Xiu-li Ren","doi":"10.1109/KAMW.2008.4810519","DOIUrl":null,"url":null,"abstract":"A novel active queue management (AQM) scheme based on fuzzy sliding mode controller is designed to tackle network congestion problem with modelling uncertainties, time varying parameter fluctuations and external disturbances. Stability analysis is given to this system. Simulation results demonstrate that it can lead to the convergence of the queue length to the desired value quickly and maintain the oscillation small.","PeriodicalId":375613,"journal":{"name":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Design a Stabilizing AQM Controller Based on Fuzzy Sliding Mode Control\",\"authors\":\"Feng-jie Yin, Jian-sheng Xue, Xiu-li Ren\",\"doi\":\"10.1109/KAMW.2008.4810519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A novel active queue management (AQM) scheme based on fuzzy sliding mode controller is designed to tackle network congestion problem with modelling uncertainties, time varying parameter fluctuations and external disturbances. Stability analysis is given to this system. Simulation results demonstrate that it can lead to the convergence of the queue length to the desired value quickly and maintain the oscillation small.\",\"PeriodicalId\":375613,\"journal\":{\"name\":\"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/KAMW.2008.4810519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KAMW.2008.4810519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design a Stabilizing AQM Controller Based on Fuzzy Sliding Mode Control
A novel active queue management (AQM) scheme based on fuzzy sliding mode controller is designed to tackle network congestion problem with modelling uncertainties, time varying parameter fluctuations and external disturbances. Stability analysis is given to this system. Simulation results demonstrate that it can lead to the convergence of the queue length to the desired value quickly and maintain the oscillation small.