Convex stochastic sequential machines
作者:
HASSANN. EL-GHOROURY,
SOMESHWARC. GUPTA,
期刊:
International Journal of Systems Science
(Taylor Available online 1971)
卷期:
Volume 2,
issue 1
页码: 97-112
ISSN:0020-7721
年代: 1971
DOI:10.1080/00207727108920180
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
From the Convex addition of two independent stochastic vectors, one of them being the output of a Markov chain, the convex stochastic model is defined. Emphasis is on the Moore version of the model. Response equations are given. The relation between this model and the stochastic sequential machine is found. Paralleling the ideas used in systems approach a zero input machine is defined, which plays a very important role in determining the special characteristics of the convex stochastic machine. Equivalence, state minimization, and asymptotic behavior are among the problems discussed.
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