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Reduced-order subscales for POD models [PDF]

open access: yesComputer Methods in Applied Mechanics and Engineering, 2015
In this work the Reduced-Order Subscales for Proper Orthogonal Decomposition models are presented. The basic idea consists in splitting the full-order solution into the part which can be captured by the reduced-order model and the part which cannot, the ...
Joan Baiges   +2 more
exaly   +2 more sources
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Reduced-Order Models for MEMS Applications

Nonlinear Dynamics, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammad I Younis   +2 more
exaly   +3 more sources

On Synthesis of Reduced Order Models

2011
A framework for model reduction and synthesis is presented, which enables the re-use of reduced order models in circuit simulation. Two synthesis techniques are considered for obtaining the circuit representation (netlist) of the reduced model: (1) by means of realizing the reduced transfer function and (2) by unstamping the reduced system matrices ...
Ionutiu, R., Rommes, J.
openaire   +1 more source

Reduced-order modeling for hyperthermia control

IEEE Transactions on Biomedical Engineering, 1992
This paper analyzes the feasibility of using reduced-order modeling techniques in the design of multiple-input, multiple-output (MIMO) hyperthermia temperature controllers. State space thermal models are created based upon a finite difference expansion of the bioheat transfer equation model of a scanned focused ultrasound system (SFUS).
J. Kyle Potocki, Hal S. Tharp
openaire   +3 more sources

Reduced-Order Modeling

2014
In this chapter, the full-order state-space models presented in Chap. 3 are reduced in order and parametrized in the main parameters of the flight envelope. Order reduction is achieved by a multistep procedure: A modal reduction is followed by a reduction of the complete aeroelastic model and finally a balanced reduction is performed.
M. Valášek   +3 more
openaire   +1 more source

Reduced-Order Modeling

2005
Abstract In recent years, reduced-order modeling techniques have proven to be powerful tools for various problems in circuit simulation. For example, today, reduction techniques are routinely used to replace the large RCL subcircuits that model the interconnect or the pin package of VLSI circuits by models of much smaller dimension.
Zhaojun Bai   +2 more
openaire   +1 more source

Reduced-Order Modeling and Filtering

1982
In this chapter the purpose is to show how one can find a reduced-order model or a reduced-order filter with a reasonable amount of design effort. It is the author's current feeling that any result which requires the solution of a nonlinear matrix two-point boundary-valued problem of high order, is not practical. The design procedure in such cases will
openaire   +2 more sources

Laguerre-SVD reduced order modeling

IEEE 8th Topical Meeting on Electrical Performance of Electronic Packaging (Cat. No.99TH8412), 2000
A reduced-order modeling method based on a system description in terms of orthonormal Laguerre functions, together with a Krylov subspace decomposition technique is presented. The link with Pade approximation, the block Arnoldi process and singular value decomposition (SVD) leads to a simple and stable implementation of the algorithm. Novel features of
L. Knockaert, D. De Zutter
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Reduced-Order Modeling of Flexible Structures

Journal of Guidance, Control, and Dynamics, 1988
An alternate procedure for deriving a reduced-order model is presented. The Routh expansion method is used and preserves the original system impulse response energy. This procedure does not acquire knowledge of the system eigenvalues/eigenvectors and guarantees a stable reduced-order model if the original system is stable.
Ramakrishnan, Jayant V.   +2 more
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Reduced order dynamical model for supercapacitors

2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control, 2010
A novel dynamical model for a single cell electric double-layer capacitor is proposed. The model was derived from a distributed-parameter electrochemical model, first reformulated and then approximated to reduce its order. Finite dimension approximations were obtained by applying finite differences, finite element and differential quadrature ...
Aldo Romero-Becerril, Luis Alvarez-Icaza
openaire   +1 more source

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