JOURNAL ARTICLE

Discrete Event Simulation of Hybrid Systems

Ernesto Kofman

Year: 2004 Journal:   SIAM Journal on Scientific Computing Vol: 25 (5)Pages: 1771-1797   Publisher: Society for Industrial and Applied Mathematics

Abstract

This paper describes the quantization-based integration methods and extends their use to the simulation of hybrid systems. Using the fact that these methods approximate ordinary differential equations (ODEs) and differential algebraic equations (DAEs) by discrete event systems, it is shown how hybrid systems can be approximated by pure discrete event simulation models (within the DEVS formalism framework). In this way, the treatment and detection of events representing discontinuities---which constitute an important problem for classic ODE solvers---is notably simplified. It can be also seen that the main advantages of quantization-based methods (error control, reduction of computational costs, possibilities of parallelization, sparsity exploitation, etc.) are still verified in the presence of discontinuities. Finally, some examples which illustrate the use and the advantages of the methodology in hybrid systems are discussed.

Keywords:
Ode DEVS Classification of discontinuities Ordinary differential equation Quantization (signal processing) Hybrid system Mathematics Algebraic number Formalism (music) Discrete event simulation Differential algebraic equation Applied mathematics Computer science Algorithm Differential equation Modeling and simulation Mathematical analysis Simulation

Metrics

137
Cited By
8.91
FWCI (Field Weighted Citation Impact)
23
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
Numerical methods for differential equations
Physical Sciences →  Mathematics →  Numerical Analysis
Modeling and Simulation Systems
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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