A goal-oriented reduced-order modeling approach for nonlinear systems

An Approach for Reduced Order Modeling of Nonlinear Power Systems

-In this paper we present an approach for the reduced order modeling of nonlinear power systems. We describe a combined symbolic-numeric methodology for a local model order reduction which is based on the theory of singularly perturbed systems. Since the properties of power systems are taken into account, we were able to define an easy to use formula which eliminates the necessity of engineerin...

Reduced Order Modeling of Nonlinear Control Systems

Efficient POD reduced-order modeling for parametrized nonlinear PDE systems

In this paper a model order reduction method for a nonlinear elliptic-parabolic system is developed. Systems of this type arise from mathematical models for lithium ion batteries. A non-intrusive reduced order approach based on proper orthogonal decomposition (POD) is presented. In addition to this the interpolation method introduced by Barrault et al. [3] is applied in order to achieve efficie...

A Goal-oriented Framework for Business Modeling

This paper proposes a modeling framework that provides rigorous concepts for conducting early organizational requirements analysis. The aim is to allow business analysts to produce an organizational model that precisely captures the knowledge of an organization and of its business processes. To this end, the framework offers a conceptual meta-model that identifies constructs that enable capturi...

A UML Profile for Goal-Oriented Modeling

The Unified Modeling Language (UML) does not fully address the needs of some important modeling domains, including goals and non-functional requirements (NFR). However, UML can be extended and tailored through the definition of profiles. In this paper, we propose a UML profile for the Goal-oriented Requirement Language (GRL), the goal/NFR notation of the User Requirements Notation (URN), recent...