Computer Automated Multi-Paradigm Modeling in Control System Design
Pieter J. Mosterman
Institute for Robotics and Mechatronics
DLR Oberpfaffenhofen
Hans Vangheluwe
School of Computer Science
McGill University
Abstract
The complete control system design effort
involves many stages during which partial
design tasks are completed. Each of these tasks requires different
modeling paradigms and different tools. Furthermore, the designed
embedded control system entails a wide variety of implementation
technologies that all require different specification formalisms.
To handle such a multitude of modeling paradigms and different
support tools: (i) a unifying
generic standard language can be applied, and
(ii) the required modeling paradigms can be modeled by a meta model
using a shared meta language.
An overview of the required
parts and structure of a modeling environment
and of the two approaches is given. The advantages
with respect to multi-paradigm modeling are discussed.
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