Sentence examples for based model order reduction from inspiring English sources

Clustering algorithm and Hankel approximation based model order reduction techniques are used for the design of suitable IM.

The Logarithmic based model order reduction technique is proposed to reduce the single and two-area high order power systems for the application of controller design.The proposed IMC-PID design of reduced order model achieves good dynamic response and robustness against load disturbance with the original high order system.

Therefore, a Krylov based model order reduction technique will be applied, which allows to reduce the order of the discretized model further down to a chosen value k << nN and where the transfer function of the reduced order model matches several moments (function value and derivatives) at zero and infinity with the transfer function of the original time-delay system.

The proposed ANN-based model order reduction method is compared to recently published work on MOR techniques.

We show that coupling domain decomposition and projection-based model order reduction permits to focus the numerical effort where it is most needed: around the zones where damage propagates.

The ill-conditioning resulting from the high-dimensionality of the resulting dynamical system is removed by principal component analysis (PCA -based model order reduction and a multi-rate estimator is designed to comPCA -basedr the modelrement delay assordered with the PSD measureduction

This approach, called variational extended truncated balanced realization (varETBR), is based on model order reduction techniques to reduce the circuit matrices before the variational simulation.

In this study, Subspace Based Identification (SBI) method is used as a model order reduction technique in frequency domain.

This paper presents a new technique for model order reduction (MOR) that is based on an artificial neural network (ANN) prediction.

Based on the 3D finite element model and the model order reduction method, the effects of anisotropy in shaft and bearings on the forced response and whirling of anisotropic rotor-bearing systems are systematically investigated.

The controller design method is based on two degree of freedom (2DOF) internal model control which combines with model order reduction technique.