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Combined continuous/discrete simulation: applications, techniques and tools
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Source Winter Simulation Conference archive
Proceedings of the 18th conference on Winter simulation table of contents
Washington, D.C., United States
Pages: 24 - 33  
Year of Publication: 1986
ISBN:0-911801-11-1
Author
François E. Cellier  Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ
Sponsor
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 7,   Downloads (12 Months): 28,   Citation Count: 3
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ABSTRACT

Beside from purely discrete event and/or continuous system simulations, there exists yet another simulation methodology that combines both classes of simulations into one. It is often possible to model one and the same system by use of completely different world views. Several papers have been written in which one particular application was modeled once by use of continuous system simulation, and once by use of discrete event simulation. Both techniques may eventually lead to the same answers. Sometimes however, one technique lends itself more easily to answering some particular questions about a system while the other is more convenient for answering some other questions about the same system. Thus, before the modeler can decide which methodology best to employ, he must know what purposes his model is going to be used for. In this paper, we want to describe applications that call for a combined continuous/discrete modeling methodology together with the techniques (concepts), that characterize this type of simulation approach. We shall also describe briefly what simulation systems are currently on the software market that can be used for this type of simulations.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
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2
Cellier, F. E. (1979). Comb/ned Continuous/Discrete System Simulation by Use of Oig/tal Computers. Techniques and Tools PhD Thesis, Diss ETH No 6483 Swiss Federal Institute of Technology Z(Jrich, Switzerl.and, 266p.
 
3
Cellier, F. E. (1983).Simulation Software: Today and Tomorrow. In: Proc Simulation in Engineering Sciences(d.Burger and Y. Varny, eds.). North-Holand, pp. 3-19
 
4
Cellier, F. E. and Blitz A. E. (1976). GASP-V: A Universal Simulation Package. In: Proc. 8zh A/CA Conqress on Simulation of Systems (L. Dekker, ecl.). North-Hol land, pp. 391-402.
 
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6
Fahrland, D. A. (1970) Combined Discrete Event / Continuous System Simulation. Simulation, 14(2), pp. 61-72.
 
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8
Korn, G. A. and Wait, J. V. (I978). D~qital Continuous-System Simulation. Prentice Hall, 212p.
 
9
Mitchell E. E. L. and Gauthier, J. 5. (1981) ACSL. Advanced Continuous Simulation L anquage - User/Guide Reference Manual Mitchell & Gauthier, Assoc., 1337, Old Marlboro Road, Concord, MA 01742, U.S.A.
 
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11
Pritsker, A. A. B. (1974) The GASP-IV Simulation Language.. John Wiley, Interscience, 45~p.
 
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13
Schlunegger, H. (1977). Untersuchunq eines netzrOck w irkun gsarm en, z wan gsk omm u t /erL er Triebf ahrzeug-S tromrich ters zur Einspe /sung e rues Gleichspannungszwischenkre/Ses aus den? Einphasennetz. PhD Thesis, Diss ETH No 5667, Swiss Federal Institute of Technology Z(Jrich, Switzerland.


Collaborative Colleagues:
François E. Cellier: colleagues