The influence model

被引：101

作者：

Asavathiratham, C ^{[1
]}

Roy, S

Lesieutre, B

Verghese, G

机构：

[1] McKinsey & Co Inc, London SW1Y 4UH, England

[2] MIT, Cambridge, MA 02139 USA

[3] Cornell Univ, Sch Elect & Comp Engn, Ithaca, NY 14853 USA

来源：

IEEE CONTROL SYSTEMS MAGAZINE | 2001年 / 21卷 / 06期

关键词：

D O I：

10.1109/37.969135

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 influence model constructed to represent the dynamics of networked and interacting Markov chains was described. The steady-state failure distribution for the model could be computed if the state transition matrix for the Markov chain was given. The application of the influence model as a representation for stochastic signals of various kinds was also proposed.

引用

页码：52 / 64

页数：13

共 22 条

[1]

[Anonymous], 1979, Reversibility and Stochastic Networks

[2]

Asavathirathamn C., 2000, THESIS MIT

[3]

Bremaud P., 1999, MARKOV CHAINS GIBBS

[4]

CLIFFORD P, 1973, BIOMETRIKA, V60, P581, DOI 10.2307/2335008