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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 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 modeling of commensurate fractional-order systems

2016 14th International Conference on Control, Automation, Robotics and Vision (ICARCV), 2016
This 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.

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   +1 more
openaire   +2 more sources

REDUCED ORDER MODELS FOR ESTIMATION AND CONTROL

IFAC Proceedings Volumes, 1982
Abstract 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 modelling of an adaptive mesh ocean model

International Journal for Numerical Methods in Fluids, 2008
AbstractA novel proper orthogonal decomposition (POD) model has been developed for use with an advanced unstructured mesh finite‐element ocean model, the Imperial College Ocean Model (ICOM, described in detail below), which includes many recent developments in ocean modelling and numerical analysis.
Fang, F.   +6 more
openaire   +3 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 Modeling

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

Reduced-order Models for Coupled Problems

2010
info:eu-repo/semantics ...
Filomeno Coelho, Rajan   +5 more
openaire   +2 more sources

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  

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