Abstract
Multi-resolution modeling (MRM) is widely used in manufacture industry, environment science (climate, geometry, map), science (material, biology) and so on. Dozens of theories and methods are proposed to MRM. However, most of these MRMs are not designed for simulation, which leads to MRM failures in terms of information loss, consistency maintenance and resolution changes. To solve these failures, this paper introduces Connector-oriented Resolution State Chart-based System (CORES): a novel MRM approach with emphasis on choosing appropriate resolutions for simulation. In CORES, Resolution State chart, a UML state chart, is modeled to specify the resolution changes. And Connector, the connection of different resolutions, is proposed as a standby part to fulfill the four requirements on relationships between models of different resolutions. Finally, a dimension-variable linear system is modeled to demonstrate CORES approach, and the numerical results verify our approach.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Werther, J., Heinrich, S., Dosta, M., Hartge, E.: The ultimate goal of modeling—simulation of system and plant performance. Particuology 9, 320–329 (2011)
Petty, M.D., Franceschini, R.W., Panagos, J.: Multi-Resolution Combat Modeling. Engineering Principles of Combat Modeling and Distributed Simulation, 607–640 (2012)
Horstemeyer, M.F.: Multiscale modeling: a review.: Practical aspects of computational chemistry, pp. 87–135. Springer (2010)
Stoter, J., Visser, T., van Oosterom, P., Quak, W., Bakker, N.: A semantic-rich multi-scale information model for topography. Int. J. Geogr. Inf. Sci. 25, 739–763 (2011)
Dada, J.O., Mendes, P.: Multi-scale modelling and simulation in systems biology. Integrative Biology 3, 86–96 (2011)
Davis, P.K.: An introduction to variable-resolution modeling. Naval Research Logistics (NRL) 42, 151–181 (1995)
Powell, D.R.: Control of entity interactions in a hierarchical variable resolution simulation. Los Alamos National Lab., NM, United States (1997)
Davis, P.K., Bigelow, J.H.: Experiments in MRM. RAND MR-100-DARPA (1998)
Cubert, R.M., Goktekin, T., Fishwick, P.A.: MOOSE: architecture of an object-oriented multimodeling simulation system, 78–88 (1997)
Rao, D.M., Wilsey, P.A.: Multi-resolution network simulations using dynamic component substitution, 142–149 (2001)
Li, V.S., Ka, M., Me, V.N., Hart, P., V S Afa V R I K, J.: Simulating Details on Demand Using Variable-Resolution Modeling., Vol. 98. 39-46 (1998)
Natrajan, A.: Consistency maintenance in concurrent representations. University of Virginia (2000)
Natrajan, A., Reynolds Jr, P.F.: Concurrent Representations for Jointly-executing Models.. University of Virginia Technical Report No. CS-2001-20 (2001)
Chase, T., Gustavson, P., Eifert, L., RDECOM, U.A.: The Application of Base Object Models (BOMs) for Enabling Multi-Resolution Modeling (2004)
Drewry, D.T., Reynolds Jr., P.F., Emanuel, W.R.: Optimization as a tool for consistency maintenance in multi-resolution simulation. DTIC Document (2006)
Liu, B.H., Huang, K.D.: A formal description specification for multi-resolution modeling (MRM) based on DEVS formalism. In: Kim, T.G. (ed.) AIS 2004. LNCS (LNAI), vol. 3397, pp. 285–294. Springer, Heidelberg (2005)
Harel, D.: Statecharts: A visual formalism for complex systems. Sci. Comput. Program. 8, 231–274 (1987)
UML state machine - Wikipedia, the free encyclopedia, http://en.wikipedia.org/wiki/UML_state_machine#Hierarchically_nested_states
Kim, T.G., Lee, C., Christensen, E.R., Zeigler, B.P.: System entity structuring and model base management. IEEE Transactions on Systems, Man and Cybernetics 20, 1013–1024 (1990)
Kokotovic, P.V., O’Malley Jr., R.E., Sannuti, P.: Singular perturbations and order reduction in control theory — An overview. Automatica 12, 123–132 (1976)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mao, H., Peng, G., Zhang, H. (2013). Choosing Models of Appropriate Resolutions for Simulation: A MRM Approach. In: Tan, G., Yeo, G.K., Turner, S.J., Teo, Y.M. (eds) AsiaSim 2013. AsiaSim 2013. Communications in Computer and Information Science, vol 402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45037-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-45037-2_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-45036-5
Online ISBN: 978-3-642-45037-2
eBook Packages: Computer ScienceComputer Science (R0)