Abstract
Abstract. In modeling of distributed systems with distributed sources large networks with RLC-elements and independent sources arise. This high complexity leads to a high effort in simulations. Therefore model reduction can be used to reduce these networks, preserving the behavior at the observed nodes in the networks. For the reduction of networks with a large number of independent sources only a weak reduction is enabled with standard model reduction techniques. In this paper an efficient reduction of networks with a large number of sources with piece-wise-linear waveforms is presented, using the decomposition of piece-wise-linear functions. With the proposed method a higher reduction of the network and/or a higher accuracy can be achieved with model reduction. The validity and efficiency of the proposed method is shown by reducing a RCI-Grid model.
Reference13 articles.
1. Aliprantis, C. D., Harris, D., and Tourkey, R.: Continous Piecewise Linear Functions, Macroeconomic Dynamics, 10(1), 77–99, 2005.
2. Antoulas, A. C.: Approximation of Large-Scale Dynamical Systems, Adv. Design Control, SIAM, 2005.
3. Feldmann, P.: Model order reduction techniques for linear systems with large number of terminals, DATE'2004 – Design, Automation and Test in Europe, Exhibition Conference, vol. 2, Paris, France, 2004.
4. Ionutiu, R., Lefteriu, S., and Antoulas, A. C.: Comparison of Model Reduction Methods with Applications to Circuit Simulation, Scientific Computing in Electrical Engineering SCEE 2006, Mathematics in Industry, Springer, vol. 11, 2007.
5. Ludwig, S., Radić-Weissenfeld, Lj., Mathis, W., and John, W.: Efficient Model Reduction of Passive Electrical Networks with a Large Number of Independent Sources, IEEE International Symposium on Circuits and Systems ISCAS, Seattle, USA, 2008a.
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