Representation of Dynamic Structure Discrete Event Models: A Systems Theory Approach
The Parallel Dynamic Structure Discrete Event System Specification (DSDE) can represent systems with a time-varying structure. Changes in structure are broadly defined and include changes in models, components and their interactions. We show that the DSDE is closed under the composition operation. This property allows the construction of hierarchical and modular models. The abstract simulators necessary to execute dynamic structure models are presented. These simulators allow a description of models independently of the actual simulation procedure. The DSDE formalism handles simultaneous events in parallel, and it determines, without ambiguity, the network composition when structural changes occur.
KeywordsDiscrete Event Simultaneous Event Discrete Event System Abstract Simulator Dynamic Structure Model
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- ReferencesGoogle Scholar
- Barros, F.J.  , “Dynamic Structure Discrete Event System Specification: A New Formalism for Dynamic Structure Modeling and Simulation.” Proceedings of the 1995 Winter Simulation Conference, Arlington(VA), pp. 781–785.Google Scholar
- Barros, F. J.  , “Dynamic Structure Discrete Event System Specification: Formalism, Abstract Simulators and Applications.” Transactions of the Society for Computer Simulation. 13, pp. 35–46.Google Scholar
- Barros, F. J. , “Dynamic Structure Discrete Event Systems: A Comparison of Methodologies and Environments.” In Proceedings of SPIE 11th Annual International Symposium on Aerospace/Defense Sensing, Simulation and Controls: Enabling Technology for Simulation Science 3083, pp. 268–277.CrossRefGoogle Scholar
- Barros, F. J.  , “Handling Simultaneous Events in Dynamic Structure Models.” Proceedings of SPIE 12th Annual International Symposium on Aerospace/ Defense Sensing, Simulation and Controls: Enabling Technology for Simulation Science, 3083, pp. 355–363.Google Scholar
- Barros, F. J. , “Abstract Simulators for the DSDE Formalism.” Proceedings of the 1998 Winter Simulation Conference, Washington DC, pp. 407–412.Google Scholar
- Barros, F. J. , “A Framework for Representing Numerical Multirate Integration Methods.” In Proceedings of the Sixth Annual Conference on AI, Simulation and Planning in High Autonomy Systems, Tucson (AZ), pp. 149–154.Google Scholar
- Chow, A. C. and Zeigler, B. P.  , “Abstract Simulator for the Parallel DEVS Formalism.” In Proceedings of the Fifth Annual Conference on AI, Simulation and Planning in High Autonomy Systems, Gainesville (FL), pp. 157–163.Google Scholar
- Unger, D.  , “Self: The Power of Simplicity.” SIGPLAN Notices, 22, 227–241.Google Scholar
- Uhrmacher, A. M. and Arnold, R.  , “Distributing and Maintaining Knowledge: Agents in Variable Structure Environment.” Proceedings of the Fifth Annual Conference on AI, Simulation and Planning in High Autonomy Systems (Gainesville, FL, December 7–9), pp. 178–184.Google Scholar
- Vasconcelos, M. J.  , Modeling Spatial Dynamic Ecological Processes with DEVS-Scheme and Geographic Information Systems. Ph.D. Thesis, School of Renewable and Natural Resources, University of Arizona.Google Scholar
- Zeigler, B. P.  , Multifaceted Modelling and Discrete Event Simulation. Academic Press, London.Google Scholar