Model engineering for simulation

Lin Zhang; Bernard P. Zeigler; Yuanjun Laili

doi:10.1016/C2016-0-03947-5

Model engineering for simulation

Lin Zhang^*
, Bernard P. Zeigler
, Yuanjun Laili

^*此作品的通讯作者

自动化科学与电气工程学院

Key Laboratory of Precision Opto-Mechatronics Technology (Ministry of Education)
RTSync Corp. and Arizona Center for Integrative Modeling and Simulation

科研成果: 书/报告 › 书 › 同行评审

10 引用（Scopus）

摘要

Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments.

源语言	英语
出版商	Elsevier
页数	453
ISBN（电子版）	9780128135440
ISBN（印刷版）	9780128135433
DOI	https://doi.org/10.1016/C2016-0-03947-5
出版状态	已出版 - 1 3月 2019

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10.1016/C2016-0-03947-5

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abstract = "Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments.",

author = "Lin Zhang and Zeigler, \{Bernard P.\} and Yuanjun Laili",

year = "2019",

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AB - Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments.

UR - https://www.scopus.com/pages/publications/85081530156

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DO - 10.1016/C2016-0-03947-5

M3 - 书

AN - SCOPUS:85081530156

SN - 9780128135433

BT - Model engineering for simulation

PB - Elsevier

ER -

Model engineering for simulation

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