Results 251 to 260 of about 19,863,493 (281)
Some of the next articles are maybe not open access.
Reduced-Order Modeling of Flexible Structures
Journal of Guidance, Control, and Dynamics, 1988An 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
openaire +2 more sources
Reduced order dynamical model for supercapacitors
2010 7th International Conference on Electrical Engineering Computing Science and Automatic Control, 2010A 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
Reduced-order modeling of commensurate fractional-order systems
2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016This paper proposes a new method of finding reduced-order model of a commensurate fractional-order (FO) system. The FO system is first converted to integer-order (IO) and then a mixed method of model-order reduction (MOR) scheme is applied. In this scheme, the denominator is obtained using time-moment matching method and the numerator is determined ...
Sahaj Saxena +2 more
openaire +1 more source
A reduced-order modeling of pattern formations.
CoRRChemical 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 +1 more
openaire +2 more sources
Reduced Order Modelling — Methods and Constraints
2004There 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
2006Two 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
2010info:eu-repo/semantics ...
Filomeno Coelho, Rajan +5 more
openaire +2 more sources
REDUCED ORDER MODELİNG OF BRUSSELATOR MODEL
International Conference on Modern Problems of Mathematics, Mechanics and their ApplicationsAbstract. 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, 2022Michael Kapteyn
exaly