scispace - formally typeset
Journal ArticleDOI

The time and state relationships in simulation modeling

Richard E. Nance
- 01 Apr 1981 - 
- Vol. 24, Iss: 4, pp 173-179
TLDR
This paper focuses on the coordination of the time and state concepts using "object" as the link and relates the concept of "state-sequenced simulation" to the variations in time flow mechanisms.
Abstract
Time and state descriptions form the core of a simulation model representation. The historical influence of initial application areas and the exigencies of language implementations have created a muddled view of the time and state relationships. As a consequence, users of simulation programming languages work in relative isolation; model development, simulation application, model portability, and the communication of results are inhibited and simulation practice fails to contribute to the recognition of an underlying foundation or integrating structure. A model representation structure has been forged from a small set of basic definitions which carefully distinguish the state and time relationships. This paper focuses on the coordination of the time and state concepts using \"object\" as the link. In addition to clarifying the relationships, the structure relates the concept of \"state-sequenced simulation\" to the variations in time flow mechanisms. In conclusion, some speculations are offered regarding alternative algorithms for time flow mechanisms.

read more

Citations
More filters
Journal ArticleDOI

Simulation modeling with event graphs

TL;DR: This research was partially supported by National Science Foundation Grant ECS-8023177 and may be adapted for use in teaching and research.
Proceedings ArticleDOI

CSIM: a C-based process-oriented simulation language

TL;DR: A number of additional features dealing with modeling system resources, message passing, data collection and debugging which ease the task of building simulation models are added to CSIM.
Journal ArticleDOI

Simulation modeling for analysis

TL;DR: It is shown that a tight coupling of the modeling and analysis phases in a simulation project can lead to dramatic improvements in the study results, and suggestions are made for how simulation analysis, considered in the explicit context of discrete-event simulation models, can create new opportunities for meaningful research and more efficient modeling.

An introduction to multi-paradigm modelling and simulation.

TL;DR: The article first introduces the general concepts of Modelling and Simulation theory, and explains how rigourous application thereof provides a sound basis for the meaningful exchange and re-use of knowledge about the behaviour of complex systems.
Journal ArticleDOI

State event location in differential-algebraic models

TL;DR: An efficient discontinuity handling algorithm for initial value problems in differential-algebraic equations is presented and a consistent even location calculation is developed that accurately locates the state event detected earlier while completely eliminating incorrect reactivation of the same state event immediately after the consistent initialization calculation that may follow.
References
More filters
Journal ArticleDOI

Some Tactical Problems in Digital Simulation

R. W. Conway
- 01 Oct 1963 - 
TL;DR: This paper is concerned with the manner in which an investigation by simulated experimentation is conducted, after the model has been formulated and the computer program completed, and methods of improving the precision of results.