Programming combined discrete-continuous simulation models for performance
J. Frederick Klingener
- 08 Nov 1996
- pp 833-839
TL;DR: Some requirements for obtaining accuracy and speed in the numerical integration of the continuous variables in combined models are discussed and approaches that can be used to meet those requirements in selected commercial modeling packages are described.
read more
Abstract: Continuous state variables in combined discrete-continuous simulation models (combined models) commonly represent physical quantities, such as fluid levels or temperatures, that are governed by physical laws, and these laws are expressed as differential equations of state. The combined simulation modeling program commonly integrates the differential equations numerically, in step with its computations that describe the evolution of the discrete events. In addition to the pitfalls familiar to numerical integration, special hazards due to the interacting discrete events may confront the analyst seeking high performance in a complex model. This paper first discusses, in the context of discrete event modeling packages, some requirements for obtaining accuracy and speed in the numerical integration of the continuous variables in combined models, and second, it describes approaches that can be used to meet those requirements in selected commercial modeling packages.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
A model of the software development process using both continuous and discrete models
Robert H. Martin,David Raffo +1 more
TL;DR: A combined model is developed that represents the software development process as a series of discrete process steps executed in a continuously varying project environment.
108
Discrete-event simulation of fluid stochastic Petri nets
TL;DR: The purpose of this paper is to describe a method for the simulation of the recently introduced fluid stochastic Petri nets, which result in rather complex system of partial differential equations.
95
Framework for Simulation of Hybrid Systems: Interoperation of Discrete Event and Continuous Simulators Using HLA/RTI
Changho Sung,Tag Gon Kim +1 more
- 14 Jun 2011
TL;DR: A framework for simulating hybrid systems by means of interoperation between existing simulators for a continuous model and a discrete event model using a High Level Architecture (HLA) was applied to water level simulation.
The split system approach to managing time in simulations of hybrid systems having continuous and discrete event components
James J. Nutaro,Phani Teja Kuruganti,Vladimir Protopopescu,Mallikarjun Shankar +3 more
- 01 Mar 2012
TL;DR: The main goal of this paper is to provide a methodology whereby simulation designers can use a priori knowledge about the hybrid model’s structure to build a straightforward, efficient, and accurate simulator with existing software packages.
33
References
•Book
Introduction to simulation and SLAM II
A. Alan B. Pritsker
- 01 Jan 1979
TL;DR: This volume discusses simulation techniques and procedures, simulation approaches to problem resolution, applications of simulation, and more, using SLAM, an advanced FORTRAN language for simulation models.
1.3K
Combined discrete-continuous simulation models in ProModel for Windows
J. Frederick Klingener
- 01 Dec 1995
TL;DR: A general approach to modeling of combined discrete-continuous systems, the details of a particular example problem, are described, and some modeling issues are discussed.