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A novel suboptimal algorithm for state estimation of Markov jump linear systems
  • 期刊名称:Journal of Control Theory and Applications
  • 时间:0
  • 页码:148-154
  • 分类:TP13[自动化与计算机技术—控制科学与工程;自动化与计算机技术—控制理论与控制工程] X511[环境科学与工程—环境工程]
  • 作者机构:[1]College of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • 相关基金:Project supported by the National Natural Science Foundation of China (Grant Nos. 50977008, 60774048 and 61034005), the Research Fund for the Doctoral Program of China Higher Education (Grant No. 20070145015) and the National High Technology Research and Development Program of China (Grant No. 2009AA04Z127).
  • 相关项目:智能电网的动态全局优化与节能控制理论及其应用
中文摘要:

This paper deals with the issue of synchronization of delayed complex networks. Differing from previous results,the delay interval [0,d(t)] is divided into some variable subintervals by employing a new method of weighting delays. Thus,new synchronization criteria for complex networks with time-varying delays are derived by applying this weighting-delay method and introducing some free weighting matrices. The obtained results have proved to be less conservative than previous results. The sufficient conditions of asymptotical synchronization are derived in the form of linear matrix inequality,which are easy to verify. Finally,several simulation examples are provided to show the effectiveness of the proposed results.

英文摘要:

This paper deals with the issue of synchronization of delayed complex networks. Differing from previous results, the delay interval [0, d(t)] is divided into some variable subintervals by employing a new method of weighting delays. Thus, new synchronization criteria for complex networks with time-varying delays are derived by applying this weighting-delay method and introducing some free weighting matrices. The obtained results have proved to be less conservative than previous results. The sufficient conditions of asymptotical synchronization are derived in the form of linear matrix inequality, which are easy to verify. Finally, several simulation examples are provided to show the effectiveness of the proposed results.

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