Accuracy and Efficiency Enhancement in Nonlinear Model Order Reduction

Hamid Reza Shaker, Mahmoud Samavat

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

Resumé

A new method for model order reduction for an important class of non-linear dynamical systems is proposed. The reduction technique is based on the frequency balanced reduction method within a desired frequency band and a developed Trajectory Piecewise-Linear (TPWL) model order reduction approach. Both the methods are recently developed techniques and they can increase the accuracy and efficiency of the reduction method. The computational load and memory are significantly reduced when the method is used in the hybrid reduction method. The accuracy enhanced hybrid method is applicable to very large scale non-linear models efficiently and accurately. The numerical results show the accuracy and efficiency enhancement of the proposed method.
OriginalsprogEngelsk
TidsskriftInternational Journal of Modelling, Identification and Control
Vol/bind2
Udgave nummer2
Sider (fra-til)147-153
ISSN1746-6172
StatusUdgivet - 2007
Udgivet eksterntJa

Fingeraftryk

Model Order Reduction
Nonlinear Model
Enhancement
Reduction Method
Hybrid Method
Nonlinear Dynamical Systems
Piecewise Linear
Linear Model
Nonlinear dynamical systems
Trajectory
Numerical Results
Frequency bands
Trajectories
Data storage equipment

Citer dette

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abstract = "A new method for model order reduction for an important class of non-linear dynamical systems is proposed. The reduction technique is based on the frequency balanced reduction method within a desired frequency band and a developed Trajectory Piecewise-Linear (TPWL) model order reduction approach. Both the methods are recently developed techniques and they can increase the accuracy and efficiency of the reduction method. The computational load and memory are significantly reduced when the method is used in the hybrid reduction method. The accuracy enhanced hybrid method is applicable to very large scale non-linear models efficiently and accurately. The numerical results show the accuracy and efficiency enhancement of the proposed method.",
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Accuracy and Efficiency Enhancement in Nonlinear Model Order Reduction. / Shaker, Hamid Reza; Samavat, Mahmoud.

I: International Journal of Modelling, Identification and Control, Bind 2, Nr. 2, 2007, s. 147-153.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

TY - JOUR

T1 - Accuracy and Efficiency Enhancement in Nonlinear Model Order Reduction

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AU - Samavat, Mahmoud

PY - 2007

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AB - A new method for model order reduction for an important class of non-linear dynamical systems is proposed. The reduction technique is based on the frequency balanced reduction method within a desired frequency band and a developed Trajectory Piecewise-Linear (TPWL) model order reduction approach. Both the methods are recently developed techniques and they can increase the accuracy and efficiency of the reduction method. The computational load and memory are significantly reduced when the method is used in the hybrid reduction method. The accuracy enhanced hybrid method is applicable to very large scale non-linear models efficiently and accurately. The numerical results show the accuracy and efficiency enhancement of the proposed method.

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JO - International Journal of Modelling, Identification and Control

JF - International Journal of Modelling, Identification and Control

SN - 1746-6172

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