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Continuity and Change (Activity) Are Fundamentally Related in DEVS Simulation of Continuous Systems

  • Bernard P. Zeigler
  • Rajanikanth Jammalamadaka
  • Salil R. Akerkar
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3397)

Abstract

The success of DEVS methods for simulating large continuous models calls for more in-depth examination of the applicability of discrete events in modeling continuous phenomena. We present a concept of event set and an associated measure of activity that fundamentally characterize discrete representation of continuous behavior. This metric captures the underlying intuition of continuity as well as providing a direct measure of the computational work needed to represent continuity on a digital computer. We discuss several application possibilities beyond high performance simulation such as data compression, digital filtering, and soft computation. Perhaps most fundamentally we suggest the possibility of dispensing with the mysteries of traditional calculus to revolutionize the prevailing educational paradigm.

Keywords

Discrete Event Quantum Size Ordinary Differential Equation Partial Differential Equation Time Advance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Bernard P. Zeigler
    • 1
  • Rajanikanth Jammalamadaka
    • 1
  • Salil R. Akerkar
    • 1
  1. 1.Arizona Center for Integrative Modeling and Simulation, Department of Electrical and Computer EngineeringUniversity of ArizonaTucsonUSA

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