{"title":"基于新凸组合技术的时变时滞遗传调控网络稳定性分析","authors":"Feisheng Yang, Dejun Mu, Jing He, Dongxu Huang","doi":"10.1109/ICCAS.2015.7364933","DOIUrl":null,"url":null,"abstract":"A new methodology is presented for the stability problem of genetic networks with time-varying delay in the current article. Novel stability criteria with delay dependency in terms of linear matrix inequalities for gene regulatory nets are derived by the proposed augmented Lyapunov-Krasovski (L-K) functional. Our proof deployment applies the technique of second order convex combination, and the property of quadratic convex function without resort to Jensen's inequality.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"28 1","pages":"330-335"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Stability analysis of genetic regulatory networks with time-varying delay via new convex combination technique\",\"authors\":\"Feisheng Yang, Dejun Mu, Jing He, Dongxu Huang\",\"doi\":\"10.1109/ICCAS.2015.7364933\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A new methodology is presented for the stability problem of genetic networks with time-varying delay in the current article. Novel stability criteria with delay dependency in terms of linear matrix inequalities for gene regulatory nets are derived by the proposed augmented Lyapunov-Krasovski (L-K) functional. Our proof deployment applies the technique of second order convex combination, and the property of quadratic convex function without resort to Jensen's inequality.\",\"PeriodicalId\":6641,\"journal\":{\"name\":\"2015 15th International Conference on Control, Automation and Systems (ICCAS)\",\"volume\":\"28 1\",\"pages\":\"330-335\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 15th International Conference on Control, Automation and Systems (ICCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCAS.2015.7364933\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2015.7364933","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stability analysis of genetic regulatory networks with time-varying delay via new convex combination technique
A new methodology is presented for the stability problem of genetic networks with time-varying delay in the current article. Novel stability criteria with delay dependency in terms of linear matrix inequalities for gene regulatory nets are derived by the proposed augmented Lyapunov-Krasovski (L-K) functional. Our proof deployment applies the technique of second order convex combination, and the property of quadratic convex function without resort to Jensen's inequality.