Results 251 to 260 of about 19,884,535 (281)

Reduced-order models for a smart plate

International Journal of Automation and Control, 2007
A 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

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., Rao, S. Vittal, Koval, Leslie R.   +2 more
openaire   +2 more sources

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

A reduced-order modeling of pattern formations.

CoRR
Chemical and biochemical reactions can exhibit surprisingly different behaviours from multiple steady-state solutions to oscillatory solutions and chaotic behaviours. Such behaviour has been of great interest to researchers for many decades. The Briggs-Rauscher, Belousov-Zhabotinskii and Bray-Liebhafsky reactions, for which periodic variations in ...
Hausenblas, Erika, Randrianasolo, Tsiry Avisoa   +1 more
openaire   +2 more sources

Reduced Order Modelling — Methods and Constraints

2004
There is growing attention for methods to reduce the state space dimension of a model, especially in the area of circuit simulation and electromagnetics. Applying these techniques to substructures which behave linearly or weakly non-linearly can dramatically speed up the computations in simulation of complex electronic structures.
Heres, P.J., Schilders, W.H.A.
openaire   +2 more sources

Reduced Order Models for Eigenvalue Problems

2006
Two main approaches are known for the reduced order modelling of linear time-invariant systems: Krylov subspace based and SVD based approximation methods. Krylov subspace based methods have large scale applicability, but do not have a global error bound.
openaire   +2 more sources

Reduced-order Models for Coupled Problems

2010
info:eu-repo/semantics ...
Filomeno Coelho, Rajan, Xiao, Manyu, Breitkopf, Piotr, Knopf-Lenoir, Catherine, Villon, Pierre F., Sidorkiewicz, Maryan   +5 more
openaire   +2 more sources

Reduced Order Modeling

2023
Zulkeefal Dar, Joan Baiges, Ramon Codina
openaire   +1 more source

REDUCED ORDER MODELİNG OF BRUSSELATOR MODEL

International Conference on Modern Problems of Mathematics, Mechanics and their Applications
Abstract. We investigate reduced order model results for the linear cross-diffusion Brusselator model. The full-order system of the Brusselator model is calculated by applying the discontinuous Galerkin method in spatial discretization and the backward Euler method in temporal discretization.
openaire   +1 more source

Data-Driven Physics-Based Digital Twins via a Library of Component-Based Reduced-Order Models

International Journal for Numerical Methods in Engineering, 2022
Michael Kapteyn
exaly