Technical systems can be characterized very often as beiing very complex and heterogeneous. Many simulators exist for the analysis of continuous, discrete, and hybrid systems. However, the first modeling steps in physical domains are not yet sufficiently assisted by CAD tools. Multi-ports and generalized KIRCHHOFFian networks proved to the powerful concept in a physically oriented modeling methodology. If the physical system is described by partial differential equations, discretization algorithms are applied to construct models described by ordinary differential equations or equivalent lumped network models. Their parametrization can be supported by various algorithms for numerical order reduction in frequency and time domain, symbolic and...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
In the development of microsystems, Finite Element Method (FEM) simulators are used to investigate t...
We review a few applications of reduced-order modeling in aeronautics and medicine. The common idea ...
Technical systems can be characterized very often as complex heterogeneous systems. Many simulation ...
Modeling of the non-linear dynamic behavior of technical systems is not yet sufficiently supported b...
The aim of symbolic analysis that has its origin in the design of analog circuits is the extraction ...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
In recent years several concepts and tools for modelling and simulation of nonlinear heterogeneous a...
Part 2: Control of Distributed Parameter SystemsInternational audienceWe propose a model order reduc...
Microsystem technology is a highly interdisciplinary area. Therefore, a combination of different CAD...
Increasing complexity of mathematical models demands techniques of model order reduction (MOR) that ...
Microsystem technology is a highly interdisciplinary area. Therefore, a combination of different CAD...
Microsystem technology is a highly interdisciplinary area. Therefore, a combination of different CAD...
As operating frequency increases and device sizes shrink, the complexity of current state-of-the-art...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
In the development of microsystems, Finite Element Method (FEM) simulators are used to investigate t...
We review a few applications of reduced-order modeling in aeronautics and medicine. The common idea ...
Technical systems can be characterized very often as complex heterogeneous systems. Many simulation ...
Modeling of the non-linear dynamic behavior of technical systems is not yet sufficiently supported b...
The aim of symbolic analysis that has its origin in the design of analog circuits is the extraction ...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
This monograph addresses the state of the art of reduced order methods for modeling and computationa...
In recent years several concepts and tools for modelling and simulation of nonlinear heterogeneous a...
Part 2: Control of Distributed Parameter SystemsInternational audienceWe propose a model order reduc...
Microsystem technology is a highly interdisciplinary area. Therefore, a combination of different CAD...
Increasing complexity of mathematical models demands techniques of model order reduction (MOR) that ...
Microsystem technology is a highly interdisciplinary area. Therefore, a combination of different CAD...
Microsystem technology is a highly interdisciplinary area. Therefore, a combination of different CAD...
As operating frequency increases and device sizes shrink, the complexity of current state-of-the-art...
An increasing complexity of models used to predict real-world systems leads to the need for algorith...
In the development of microsystems, Finite Element Method (FEM) simulators are used to investigate t...
We review a few applications of reduced-order modeling in aeronautics and medicine. The common idea ...