Model order reduction of linear networks with massive ports via frequency-dependent port packing
Proceedings of the 43rd annual Design Automation Conference
International Journal of Computer Mathematics
h2-norm optimal model reduction for large scale discrete dynamical MIMO systems
Journal of Computational and Applied Mathematics
Reducibility matrix based model reduction via recurrent neural network tuning
MIC '07 Proceedings of the 26th IASTED International Conference on Modelling, Identification, and Control
Model order reduction methods for coupled systems in the time domain using Laguerre polynomials
Computers & Mathematics with Applications
Pole placement for controlling a large scale power system
Automation and Remote Control
$\mathcal{H}_2$-Optimal Model Reduction with Higher-Order Poles
SIAM Journal on Matrix Analysis and Applications
Interpolatory Projection Methods for Parameterized Model Reduction
SIAM Journal on Scientific Computing
High-Fidelity simulation of large-scale structures
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part II
Structure-preserving tangential interpolation for model reduction of port-Hamiltonian systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Model reduction of linear time-varying systems over finite horizons
Applied Numerical Mathematics
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In this paper, we address the problem of constructing a reduced order system of minimal McMillan degree that satisfies a set of tangential interpolation conditions with respect to the original system under some mild conditions. The resulting reduced order transfer function appears to be generically unique and we present a simple and efficient technique to construct this interpolating reduced order system. This is a generalization of the multipoint Padé technique which is particularly suited to handle multiinput multioutput systems.