Artificial Intelligence - Special volume on qualitative reasoning about physical systems
The art of systems architecting
The art of systems architecting
A review of function modeling: Approaches and applications
Artificial Intelligence for Engineering Design, Analysis and Manufacturing
Systems Engineering with SysML/UML: Modeling, Analysis, Design
Systems Engineering with SysML/UML: Modeling, Analysis, Design
Physical concept ontology for the knowledge intensive engineering framework
Advanced Engineering Informatics
ACC'09 Proceedings of the 2009 conference on American Control Conference
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Mechatronic systems are characterized by the synergetic integration of mechanic, electronic, software and control design aspects. The development of control software requires data and information from all design domains in order to create the required integrated functionality. This paper proposes a method that combines function modeling and multi-domain modeling primitives to generate control software automatically. An architecture model, based on the Function-Behavior-State modeling paradigm, provides the decomposition and flow of both functionality and implementation, which serves as input to a knowledge-based engineering application. The control software is subsequently extracted from a virtual product model composed of instantiated modeling primitives. A case study of a mobile robot shows how for a specific application the modeling are defined and how a high-level function model for an environment mapping mission is translated into directly implementable software code. This approach could be extended to real-life mechatronic products, and will improve consistency and reduce development time and cost.