Results 241 to 250 of about 19,863,493 (281)
Reduced Order and Surrogate Models for Gravitational Waves
Living Reviews in Relativity, 2022 AbstractWe present an introduction to some of the state of the art in reduced order and surrogate modeling in gravitational-wave (GW) science. Approaches that we cover include principal component analysis, proper orthogonal (singular value) decompositions, the reduced basis approach, the empirical interpolation method, reduced order quadratures, and ...
Aaron Villanueva, Manuel Tiglio
exaly +5 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Reduced order modeling in iTOUGH2
Computers & Geosciences, 2014The inverse modeling and uncertainty quantification capabilities of iTOUGH2 are augmented with reduced order models (ROMs) that act as efficient surrogates for computationally expensive high fidelity models (HFMs). The implementation of the ROM capabilities involves integration of three main computational components.
George Shu Heng Pau +4 more
openaire +2 more sources
Reduced-Order Models for MEMS Applications
Nonlinear Dynamics, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohammad I Younis +2 more
exaly +3 more sources
Reduced-order modeling for hyperthermia control
IEEE Transactions on Biomedical Engineering, 1992This 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
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
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 and Filtering
1982In 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
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
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
Laguerre-SVD reduced order modeling
IEEE 8th Topical Meeting on Electrical Performance of Electronic Packaging (Cat. No.99TH8412), 2000A 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
openaire +1 more source
REDUCED ORDER MODELS FOR ESTIMATION AND CONTROL
IFAC Proceedings Volumes, 1982Abstract Two methods are discussed for obtaining reduced order models suitable for specific design applications. The first yields a reduced model together with a reduced order Kaiman filter. The second yields a reduced order model together with a partial state-feedback control law.
openaire +1 more source
Reduced-order models for a smart plate
International Journal of Automation and Control, 2007A Single Input Single Output (SISO) state space model has been developed in MATLAB using a smart plate model realised in ANSYS?. The frequency response due to a unit force, for the full model as well as the reduced unsorted and sorted models was studied. DC gain is used as the criterion for sorting.
G. Jayaprasad, C. Sujatha
openaire +2 more sources