“Modular Integration Methods for Simulation of Large-Scale Dynamic Systems”
Authors: Coleman B. Brosilow, Yin-Chang Liu, Jeffrey Cook and John Klatt,Affiliation: Case Western Reserve University, USA
Reference: 1985, Vol 6, No 3, pp. 153-179.
Keywords: Modular, simulation, dynamic, parallel processing, coordination, integration
Abstract: Modular simulation of dynamic systems offers the possibility of computational speed through parallel processing of individual sub-systems and through the use of the best integration algorithms for each sub-system. Such simulation needs co-ordination algorithms to keep the various sub-systems in time synchronization and to compute the interconnection between the sub-systems. A mathematical description of the co-ordination problem leads to the development of several new algorithms. These new algorithms are shown to have desirable convergence and stability properties. In particular a new Newton type algorithm is A-stable in a sense similar to that defined for ordinary integration algorithms.
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DOI: 10.4173/mic.1985.3.4DOI forward links to this article:
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BibTeX:
@article{MIC-1985-3-4,
title={{Modular Integration Methods for Simulation of Large-Scale Dynamic Systems}},
author={Brosilow, Coleman B. and Liu, Yin-Chang and Cook, Jeffrey and Klatt, John},
journal={Modeling, Identification and Control},
volume={6},
number={3},
pages={153--179},
year={1985},
doi={10.4173/mic.1985.3.4},
publisher={Norwegian Society of Automatic Control}
};