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contributor authorJian-Qiao Sun
contributor authorC. S. Hsu
date accessioned2017-05-08T23:26:32Z
date available2017-05-08T23:26:32Z
date copyrightSeptember, 1988
date issued1988
identifier issn0021-8936
identifier otherJAMCAV-26297#694_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/103506
description abstractIn this paper a statistical error analysis of the generalized cell mapping method for both deterministic and stochastic dynamical systems is examined, based upon the statistical analogy of the generalized cell mapping method to the density estimation. The convergence of the mean square error of the one step transition probability matrix of generalized cell mapping for deterministic and stochastic systems is studied. For stochastic systems, a well-known trade-off feature of the density estimation exists in the mean square error of the one step transition probability matrix, which leads to an optimal design of generalized cell mapping for stochastic systems. The conclusions of the study are illustrated with some examples.
publisherThe American Society of Mechanical Engineers (ASME)
titleA Statistical Study of Generalized Cell Mapping
typeJournal Paper
journal volume55
journal issue3
journal titleJournal of Applied Mechanics
identifier doi10.1115/1.3125851
journal fristpage694
journal lastpage701
identifier eissn1528-9036
keywordsDensity
keywordsDesign
keywordsDynamic systems
keywordsError analysis
keywordsErrors
keywordsProbability AND Stochastic systems
treeJournal of Applied Mechanics:;1988:;volume( 055 ):;issue: 003
contenttypeFulltext


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