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Interfacing Continuous and Discrete Models for Simulation and Control

Authors: Bernard P. Zeigler; Herbert Praehofer;

Interfacing Continuous and Discrete Models for Simulation and Control

Abstract

<div class="htmlview paragraph">This is a keynote talk and the second of three papers presented at this conference. The first, “Systems Theory Background for Continuous/Discrete Integration” reviews some of the basic theory needed for this paper. Here we show how continuous and discrete modeling formalisms can be interfaced to support multiformalism modeling and simulation. Such a modeling approach is needed since typically natural systems are modeled in traditional differential equation terms while their controllers are best developed in more recent discrete formalisms. The third paper, “Distributed/Real Time Simulation: Integrating Legacy and Modern Codes”, provides an implementation perspective, addressing the major issue of legacy code reuse and its integration with modern code into advanced distributed computing systems.</div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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