Computer Automated Multi-Paradigm Modeling in Control System Design

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.