Workshop on Model Reduction of Parametrized Systems
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چکیده
s 5 Invited Talks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Contributed Talks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 Poster Presentations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
منابع مشابه
Efficient Reduced Models and A-Posteriori Error Estimation for Parametrized Dynamical Systems by Offline/Online Decomposition
Reduced basis (RB) methods are an effective approach for model reduction of parametrized partial differential equations. In the field of dynamical systems’ order reduction, these methods are not very established, but the interest in reduction of parametrized systems is increasing. In the current presentation, we show that some characteristic components of RB-methods can be transfered to model r...
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Modern simulation scenarios require real-time or many-query responses from a simulation model. This is the driving force for increased efforts in Model Order Reduction (MOR) for high dimensional dynamical systems or partial differential equations (PDEs). This demand for fast simulation models is even more critical for parametrized problems. Several snapshot-based methods for basis construction ...
متن کاملEfficient Reduced Models for Parametrized Dynamical Systems by Offline/online Decomposition
Reduced basis (RB) methods are effective methods for model reduction of parametrized partial differential equations (P2DEs). During the last years various types of stationary and timedependent, linear and nonlinear P2DEs have been treated. In the field of dynamical systems’ order reduction, these methods are largely unknown, but the interest in reduction of parametrized systems is increasing. I...
متن کاملThe Empirical Cross Gramian for Parametrized Nonlinear Systems ?
The cross gramian matrix can be used for model order reduction as well as system identification of linear control systems, which are frequently used in the sciences. The empirical cross gramian is solely computed from trajectories and hence extends beyond linear state-space systems to nonlinear systems. In this work the applicability of the empirical cross gramian also for parametrized systems ...
متن کاملTransient response analysis of randomly parametrized finite element systems based on approximate balanced reduction
A model order reduction scheme of the transient response of large-scale randomly parametrized linear finite element system in state space form has been proposed. The reduced order model realization is aimed at preserving the invariant properties of the dynamic system model based on the dominant coupling characteristics of the specified system inputs and outputs. An a-priori model reduction stra...
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