首页 | 本学科首页   官方微博 | 高级检索  
     


Mean-square exponential stability for stochastic time-varying delay systems with Markovian jumping parameters: a delay decomposition approach
Authors:Li Ma  Feipeng Da
Affiliation:1. Key Laboratory of Measurement and Control for Complex Systems of Engineering, Ministry of Education,Research Institute of Automation, Southeast University, Nanjing 210096, P. R. China;College of Electronic and Information Engineering, Jiangsu University, Zhenjiang 212013, P. R. China
2. Key Laboratory of Measurement and Control for Complex Systems of Engineering, Ministry of Education,Research Institute of Automation, Southeast University, Nanjing 210096, P. R. China
Abstract:The mean-square exponential stability problem is investigated for a class of stochastic time-varying delay systems with Markovian jumping parameters.By decomposing the delay interval into multiple equidistant subintervals,a new delay-dependent and decay-rate-dependent criterion is presented based on constructing a novel Lyapunov functional and employing stochastic analysis technique.Besides,the decay rate has no conventional constraint and can be selected according to different practical conditions.Finally,two numerical examples are provided to show that the obtained result has less conservatism than some existing ones in the literature.
Keywords:stochastic systems  time-varying delay  Markov chain  linear matrix inequality (LMI)
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号