Results 281 to 290 of about 7,720,158 (325)
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Space‐local reduced‐order bases for accelerating reduced‐order models through sparsity
International Journal for Numerical Methods in Engineering, 2022AbstractProjection‐based model order reduction (PMOR) methods based on linear or affine approximation subspaces accelerate numerical predictions by reducing the dimensionality of the underlying computational models. The state of the art of PMOR includes approximation methods based on state‐local subspaces—that is, subspaces associated with different ...
Spenser Anderson +2 more
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Non-intrusive reduced-order modeling for fluid problems: A brief review
Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 2019Despite tremendous progress seen in the computational fluid dynamics community for the past few decades, numerical tools are still too slow for the simulation of practical flow problems, consuming thousands or even millions of computational core-hours ...
Jian Yu, Chao Yan, Mengwu Guo
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Load frequency control strategy via fractional-order controller and reduced-order modeling
International Journal of Electrical Power & Energy Systems, 2019This paper proposes a simple approach to design fractional-order (FO) controller via internal model control (IMC) technique for load frequency control (LFC) problem in power systems.
Sahaj Saxena
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An improved nonlinear reduced-order modeling for transonic aeroelastic systems
, 2020In this study, an improved nonlinear reduced-order model composed of a linear part and a nonlinear part is explored for transonic aeroelastic systems.
Zhijun Yang +4 more
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A non-intrusive multifidelity method for the reduced order modeling of nonlinear problems
, 2020We propose a non-intrusive reduced basis (RB) method for parametrized nonlinear partial differential equations (PDEs) that leverages models of different accuracy. From a collection of low-fidelity (LF) snapshots, parameter locations are extracted for the
Mariella Kast, Mengwu Guo, J. Hesthaven
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2013
This chapter deals with modeling methodologies used for obtaining simplified – in the sense of reduced order – power electronic converter models, which are able to represent their low-frequency average behavior and are more easily employed in simulation or control law design.
Seddik Bacha +2 more
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This chapter deals with modeling methodologies used for obtaining simplified – in the sense of reduced order – power electronic converter models, which are able to represent their low-frequency average behavior and are more easily employed in simulation or control law design.
Seddik Bacha +2 more
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Reduced-Order Models for MEMS Applications
Nonlinear Dynamics, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nayfeh, Ali H. +2 more
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Reduced-order modeling for hyperthermia control
IEEE Transactions on Biomedical Engineering, 1992This paper analyzes the feasibility of using reduced-order modeling techniques in the design of multiple-input, multiple-output (MIMO) hyperthermia temperature controllers. State space thermal models are created based upon a finite difference expansion of the bioheat transfer equation model of a scanned focused ultrasound system (SFUS).
J K, Potocki, H S, Tharp
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Fault Detection Using Reduced Order Models
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 1993Based 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
1982In 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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