Abstract This manuscript presents a technique that allows Equationbased Object-Oriented Modelling Tools (EOOMT) to exploit Dynamic Decoupling (DD) for partitioning a complex model into "weakly coupled" submodels. This enhances simulation efficiency, and is naturally keen to parallel integration or co-simulation. After giving an overview of the problem and of related work, we propose a method to automate DD by means of a novel structural analysis of the system -called "cycle analysis" -and of a mixed-mode integration method. Also, some considerations are exposed on how the presented technique can be integrated in EOOMT, considering as representative example a Modelica translator. Simulation tests demonstrate the technique...
AbstractModel coupling is a method to simulate complex multiphysics and multiscale phenomena. Most a...
International audienceThis paper presents different dynamic models of vehicles to compare their dyna...
The paper deals with the developing of the methodological backgrounds for the modeling and simulatio...
Modelling and simulation nowadays permeate virtually any engineering activity, requiring tools capab...
The presence of different time scales in a dynamic model significantly hampers the efficiency of its...
Many control engineering tasks nowadays rely on the simulation of complex multi-physics systems. Mod...
The Modelica language offers an intuitive way to create object-oriented models. This makes it natura...
International audiencePOD is well known for model reduction for different applications. It uses snap...
This thesis presents a technique to quantitatively search for decoupling among dynamic elements of a...
Abstract. This tutorial paper is extracted from a set of graduate lectures on the model-based, time-...
Equation-based object-oriented (EOO) modeling languages such as Modelica provide a convenient, decla...
This chapter describes the generic object-oriented modeling, simulation, and optimization of dynamic...
The paper considers the decoupling problem or subsystem subtraction, i.e. the identification of the ...
Equation-based object-oriented (EOO) modelling languages provide a convenient, declarative method fo...
System dynamics is a methodology for improving the understanding and management of complex systems. ...
AbstractModel coupling is a method to simulate complex multiphysics and multiscale phenomena. Most a...
International audienceThis paper presents different dynamic models of vehicles to compare their dyna...
The paper deals with the developing of the methodological backgrounds for the modeling and simulatio...
Modelling and simulation nowadays permeate virtually any engineering activity, requiring tools capab...
The presence of different time scales in a dynamic model significantly hampers the efficiency of its...
Many control engineering tasks nowadays rely on the simulation of complex multi-physics systems. Mod...
The Modelica language offers an intuitive way to create object-oriented models. This makes it natura...
International audiencePOD is well known for model reduction for different applications. It uses snap...
This thesis presents a technique to quantitatively search for decoupling among dynamic elements of a...
Abstract. This tutorial paper is extracted from a set of graduate lectures on the model-based, time-...
Equation-based object-oriented (EOO) modeling languages such as Modelica provide a convenient, decla...
This chapter describes the generic object-oriented modeling, simulation, and optimization of dynamic...
The paper considers the decoupling problem or subsystem subtraction, i.e. the identification of the ...
Equation-based object-oriented (EOO) modelling languages provide a convenient, declarative method fo...
System dynamics is a methodology for improving the understanding and management of complex systems. ...
AbstractModel coupling is a method to simulate complex multiphysics and multiscale phenomena. Most a...
International audienceThis paper presents different dynamic models of vehicles to compare their dyna...
The paper deals with the developing of the methodological backgrounds for the modeling and simulatio...