Add to ORKGThe goal of Model Order Reduction (MOR) is to catch an accurate model of order lower than that of the real model. The reduced order model should be characterized by a low computational effort but able to estimate the input-output map of the original system in an important region of the input space. This contribution emphasizes some consequences of the adoption of a reduced order model when structural control applications are pursued. Special attention is focused on the sensors placement. I. INTRODUCTIO
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
Over the years, model-order reduction (MOR) always was greatly inspired by problems from the electro...
This is the first chapter of a three-volume series dedicated to the theory and ap plication of Mode...
The goal of Model Order Reduction (MOR) is to catch an accurate model of order lower than that of t...
The goal of the Model Order Reduction (MOR) technique is to build a model of order lower than the on...
The goal of Model Order Reduction (MOR) is to catch a model of order lower than that of the real mod...
The goal of any Model Order Reduction (MOR) technique is to build a model of order lower than the o...
This paper presents a computationally efficient model order reduction (MOR) technique for interconne...
In recent years several concepts and tools for modelling and simulation of nonlinear heterogeneous a...
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechani...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
Complexity of dynamical systems are increasing more and more as well as their mathematical models. A...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
Over the years, model-order reduction (MOR) always was greatly inspired by problems from the electro...
This is the first chapter of a three-volume series dedicated to the theory and ap plication of Mode...
The goal of Model Order Reduction (MOR) is to catch an accurate model of order lower than that of t...
The goal of the Model Order Reduction (MOR) technique is to build a model of order lower than the on...
The goal of Model Order Reduction (MOR) is to catch a model of order lower than that of the real mod...
The goal of any Model Order Reduction (MOR) technique is to build a model of order lower than the o...
This paper presents a computationally efficient model order reduction (MOR) technique for interconne...
In recent years several concepts and tools for modelling and simulation of nonlinear heterogeneous a...
Model order reduction appears to be beneficial for the synthesis and simulation of compliant mechani...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
Complexity of dynamical systems are increasing more and more as well as their mathematical models. A...
This chapter offers an introduction to Model Order Reduction (MOR). It gives an overview on the meth...
Large complex mathematical models are regularly used for simulation and prediction. However, in cont...
Over the years, model-order reduction (MOR) always was greatly inspired by problems from the electro...
This is the first chapter of a three-volume series dedicated to the theory and ap plication of Mode...