Results 251 to 260 of about 15,278,073 (285)

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 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.
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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
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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., Rao, S. Vittal, Koval, Leslie R.   +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
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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, Yogesh V. Hote, Pushkar Prakash Arya   +2 more
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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
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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.
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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.
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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
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