An adaptive sampling procedure for parametric model order reduction by matrix interpolation

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Parametric Reduced Order Models Using Adaptive Sampling and Interpolation

Over the past decade, a number of approaches have been put forth to improve the accuracy of projection-based reduced order models over parameter ranges. These can be classified as either i.) building a global basis that is suitable for a large parameter set by applying sampling strategies, ii.) identifying parameter dependent coefficient functions in the reduced order model, or iii.) changing t...

متن کامل

Parametric Model Order Reduction by Matrix Interpolation (Parametrische Ordnungsreduktion mittels Matrixinterpolation)

In this paper, a new framework for model order reduction of LTI parametric systems is introduced. After generating and reducing several local original models in the parameter space, a parametric reduced-order model is calculated by interpolating the system matrices of the local reduced models. The main task is to find compatible system representations with optimal interpolation properties. Two ...

متن کامل

Interpolation-based Parametric Model Order Reduction for Elastic Multibody Systems

The consideration of elastic effects as well as nonlinear rigid body motions makes the description of mechanical systems by elastic multibody systems (EMBS) a powerful tool in the development process. Due to the fine spatial discretization of the elastic continuum, the reduction of the elastic degrees of freedom is necessary. This essential step to enable efficient EMBS simulations can be execu...

متن کامل

A Black-Box method for parametric model order reduction based on matrix interpolation with application to simulation and control

Accurate modeling of dynamical systems can lead to large-scale systems of ordinary differential equations. For many applications, these systems additionally depend on parameters, which, for example, describe geometric attributes. In order to be able to perform tasks such as optimization, simulation or control, it is necessary to reduce the computational effort of solving the system. For that re...

متن کامل

Parametric dominant pole algorithm for parametric model order reduction

Standard model order reduction techniques attempt to build reduced order models of large scale systems with similar input-output behavior over a wide range of input frequencies as the full system models. The method known as the dominant pole algorithm has previously been successfully used in combination with model order reduction techniques to approximate standard linear time-invariant dynamica...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Low Frequency Noise, Vibration and Active Control

سال: 2019

ISSN: 1461-3484,2048-4046

DOI: 10.1177/1461348419851595