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CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
14 years 5 days ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
DATE
2003
IEEE
159views Hardware» more  DATE 2003»
14 years 22 days ago
Model-Order Reduction Based on PRONY's Method
A new model-order reduction technique for linear dynamic systems is presented. The idea behind this technique is to transform the dynamic system function from the s-domain into th...
Makram M. Mansour, Amit Mehrotra
QUESTA
1998
93views more  QUESTA 1998»
13 years 7 months ago
An approximation method for complete solutions of Markov-modulated fluid models
This paper presents an approximation method for numerically solving general Markov modulated fluid models which are widely used in modelling communications and computer systems. ...
David D. McDonald, Kun Qian
SIAMSC
2008
131views more  SIAMSC 2008»
13 years 7 months ago
Gramian-Based Model Reduction for Data-Sparse Systems
Model order reduction (MOR) is common in simulation, control and optimization of complex dynamical systems arising in modeling of physical processes and in the spatial discretizati...
Ulrike Baur, Peter Benner
SCL
2010
97views more  SCL 2010»
13 years 5 months ago
Krylov subspace methods for model order reduction of bilinear control systems
We discuss the use of Krylov subspace methods with regard to the problem of model order reduction. The focus lies on bilinear control systems, a special class of nonlinear systems...
Tobias Breiten, Tobias Damm