Dynamic systems with random structure: an approach to the generation of nonstationary stochastic processes

被引:11
|
作者
Kontorovich, V
Lyandres, V
机构
[1] National Polytechnic Institute, Secc. Comunicaciones, Ctro. I., Apartado Postal
[2] Ben-Gurion University of the Negev, Beer-Sheva
关键词
nonstationary stochastic processes; Markov processes; models of phenomena wit random structure;
D O I
10.1016/S0016-0032(99)00011-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The representation of nonstationary continuous-time, generally non-Gaussian processes with distinguishable states with the help of dynamic systems with random structure are considered. Switching of the partial subsystems is intended to be a Poisson point process and so the model has the Markov property and the generating system itself is described by a set of stochastic nonlinear differential equations. The statistical characteristics of the system output are analyzed. (C) 1999 The Franklin Institute. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:939 / 954
页数:16
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