Simulation and modeling of systems of systems

by Pascal Cantot

Publisher: ISTE, Publisher: Wiley in London, Hoboken, NJ

Written in English
Published: Pages: 378 Downloads: 44
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Subjects:

  • Systems engineering,
  • Computer simulation,
  • Data processing

Edition Notes

Includes bibliographical references and index.

Statementedited by Pascal Cantot, Dominique Luzeaux
Classifications
LC ClassificationsTA168 .S522813 2011
The Physical Object
Paginationxiv, 378 p. :
Number of Pages378
ID Numbers
Open LibraryOL25010802M
ISBN 109781848212343
LC Control Number2011006656

Guide to Modeling and Simulation of Systems of Systems Bernard P. Zeigler, Hessam S. Sarjoughian (auth.) This guide demonstrates how virtual build and test can be supported by the Discrete Event Systems Specification (DEVS) simulation modeling formalism, and the System Entity Structure (SES) simulation model ontology. : Dynamic Systems: Modeling, Simulation, and Control: 1st Edition. Very minimal amount of writing and highlighting in book. Used stickers on spine and cover. Used books are NOT guaranteed to contain components and/or supplements such as: Access Codes or working CD's/DVD's! Ships fast! Expedited shipping business days; Standard shipping Price Range: $ - $ Mittal et al. [11] were the first to employ formal Systems Theory to modeling and simulation in a netcentric SoS for developing executable architectures. They focused on the structural aspect. Start your review of The Art of Computer Systems Performance Analysis: Techniques for Experimental Design, Measurement, Simulation, and Modeling Write a review Olumuyiwa Ibidunmoye rated it really liked it/5.

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Description. For undergraduate and graduate-level courses in Systems Dynamics, Modeling, Interdisciplinary Systems. Reflecting the state-of-the-art and current trends in modeling and simulation, this text provides comprehensive coverage of 1) the modeling techniques of the major types of dynamic engineering systems, 2) the solution techniques for the resulting differential Format: On-line Supplement. As pointed out in the first section of this chapter, one must bear in mind elements pertaining to (1) the implicit assumptions-simplifications that form the basis of a model structure, (2) the need for expertise when time steps, systems limits, and systems components are chosen, and (3) the necessity to suitably assess simulation model outputs. Complete with over figures and formulas, this reference book provides the necessary overview of experiences with MAS simulation and the tools needed to exploit simulation in MAS for future research in a vast array of applications including home security, computational systems biology, and traffic management. Offers a treatment of modern applications of modelling and simulation in crop, livestock, forage/livestock systems, and field operations. The book discusses methodologies from linear programming and neutral networks, to expert or decision support systems, as well as featuring models, such as SOYGRO, CROPGRO and GOSSYM/COMAX. It includes coverage on .

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