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航天测控通信系统可靠性分析的Krylov子空间投影算法
引用本文:闫华,武小悦.航天测控通信系统可靠性分析的Krylov子空间投影算法[J].国防科技大学学报,2012,34(4):63-67.
作者姓名:闫华  武小悦
作者单位:国防科技大学信息系统与管理学院,湖南长沙,410073
基金项目:国家自然科学基金资助项目
摘    要:基于Markov模型对航天测控通信系统进行可靠性分析的过程中,若系统中测控通信设备数量较多,模型中的状态空间随设备数量呈指数增长,将会导致数值计算困难.提出了一种基于Krylov子空间技术的可靠性分析方法,将大规模问题投影至小规模子空间中,求得问题的近似解.实验结果证明,Krylov子空间方法的计算速度及精度优于Ross方法和前向Euler法(forward Euler method,FEM).

关 键 词:系统可靠性  Markov  Krylov子空间  航天测控通信系统
收稿时间:2012/1/13 0:00:00

Krylov subspace projection algorithm of reliability analysis of TT&C and communication system
YAN Hua and WU Xiaoyue.Krylov subspace projection algorithm of reliability analysis of TT&C and communication system[J].Journal of National University of Defense Technology,2012,34(4):63-67.
Authors:YAN Hua and WU Xiaoyue
Institution:(College of Information System and Management,National University of Defense Technology,Changsha 410073,China)
Abstract:Using Markov model to evaluate reliability of the tracking,telemetry and command(TT&C) and communication system is very difficult if there are many facilities in system,due to the fact that Markov modeling techniques suffer from the state explosion problem.In light of this,a reliability analysis method based on Krylov subspace is proposed;the main idea of this method is projecting the initial problem to a smaller subspace for the obtaining of an approximating result.Examples prove that the proposed method performs better than Ross method and Forward Euler Method,and it can achieve a good efficiency and accuracy.
Keywords:reliability analysis  Markov process  Krylov subspace  tracking  telemetry and command(TT&C) and communication system
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