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Advanced Topics in Model Order Reduction
2015This chapter contains three advanced topics in model order reduction (MOR): nonlinear MOR, MOR for multi-terminals (or multi-ports) and finally an application in deriving a nonlinear macromodel covering phase shift when coupling oscillators. The sections are offered in a preferred order for reading, but can be read independently.
Harutyunyan, Davit +5 more
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Symbolic model order reduction
Proceedings of the 2003 IEEE International Workshop on Behavioral Modeling and Simulation, 2004Symbolic model order reduction (SMOR) is the problem of reducing a large circuit that contains symbolic circuit parameters to smaller low order models at its ports. Several methods, including symbol isolation, single frequency point reduction, and multiple frequency point reduction, are described and compared.
B.P. Hu, G. Shi, C.-J.R. Shi
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Introduction to Model Order Reduction
2008In this first section we present a high level discussion on computational science, and the need for compact models of phenomena observed in nature and industry. We argue that much more complex problems can be addressed by making use of current computing technology and advanced algorithms, but that there is a need for model order reduction in order to ...
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Multilevel model order reduction
IEEE Microwave and Wireless Components Letters, 2004We present a multilevel Model Order Reduction scheme for enhancing numerical analysis of electromagnetic fields by means of grid based techniques. The scheme allows one to create nested macromodels and combine macromodels with the Fast Frequency Sweep.
L. Kulas, M. Mrozowski
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Model reduction for reduced order estimation in traffic models
2008 American Control Conference, 2008This paper is concerned with model reduction for a complex Markov chain using state aggregation. The work is motivated in part by the need for reduced order estimation of occupancy in a building during evacuation. We propose and compare two distinct model reduction techniques, each of which is based on the potential matrix for the Markov semigroup. The
Joseph S. Niedbalski +3 more
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Structured Model Order Reduction of Parallel Models in Feedback
IEEE Transactions on Control Systems Technology, 2013Parallel working units in closed-loop operation are frequently encountered in industrial applications of advanced process control (boilers, turbines, chemical reactors, etc.). Control strategies typically require different low-order models for each configuration of parallel units. These different models are usually obtained by heuristics applied to the
Pavel Trnka +4 more
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2004
The Finite-Difference Time-Domain (FDTD) method, Finite-Integration Technique (FIT) and the Transmission Line Matrix (TLM) method provide for discrete approximations of electromagnetic boundary value problems cast in state-space forms. The dimension of the generated state-space models is usually very large.
Dzianis Lukashevich +2 more
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The Finite-Difference Time-Domain (FDTD) method, Finite-Integration Technique (FIT) and the Transmission Line Matrix (TLM) method provide for discrete approximations of electromagnetic boundary value problems cast in state-space forms. The dimension of the generated state-space models is usually very large.
Dzianis Lukashevich +2 more
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BAT algorithm for model order reduction
International Journal of Mathematical Modelling and Numerical Optimisation, 2016Shilpi Lavania, Deepak Nagaria
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