Results 251 to 260 of about 6,124,322 (291)

Fault Detection Using Reduced Order Models

Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 1993
Based on the reduction of dynamic system models, an algebraic redundancy method is proposed which consists of fault detection through the redundant variables and fault diagnosis using a diagnostic matrix. This diagnostic matrix approach, which is an extension of the influence matrix method, is capable of identifying different combinations of failure ...
Daley, S., Wang, H.
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Reduced-Order Modeling and Filtering

1982
In 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
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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 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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On Synthesis of Reduced Order Models

2011
A framework for model reduction and synthesis is presented, which enables the re-use of reduced order models in circuit simulation. Two synthesis techniques are considered for obtaining the circuit representation (netlist) of the reduced model: (1) by means of realizing the reduced transfer function and (2) by unstamping the reduced system matrices ...
Ionutiu, R., Rommes, J.
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Reduced-Order Modeling (ROM)

2016
Wie in Kapitel 4 erlautert, ist die Losung der Euler-Gleichungen abhangig von den gewahlten Anfangs- und Randbedingungen.
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Reduced Order Modeling

2023
Zulkeefal Dar, Joan Baiges, Ramon Codina
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Reduced-Order Models for Nonlinear Unsteady Aerodynamics

AIAA Journal, 2000
Two reduced-order modeling approaches for the evaluation of nonlinear aerodynamic forces based on CFD computations are presented. These reducedorder models (ROMs) provide a means for rapid calculation of frequency-domain generalized aerodynamic forces, which can be used in traditional flutter analysis scheme, to calculate flutter characteristics about ...
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Reduced-Order Modelling of Dispersion

2008
We present low complexity models for the transport of passive scalars for environmental applications. Multi-level analysis has been used with a reduction in dimension of the solution space at each level. Similitude solutions are used in a non-symmetric metric for the transport over long distances.
Jean-Marc Brun, Bijan Mohammadi
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Inverse Reduced-Order Modeling

2015
We propose a general probabilistic formulation of reduced-order modeling in the case the system state is hidden and characterized by some uncertainty. The objective is to integrate noisy and incomplete observations in the process of building a reduced-order model. We call this problematic inverse reduced-order modeling.
Héas, Patrick, Herzet, Cédric
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