Modelling and testing for total life cycle management in mechatronics.

The complexity and intelligence of cyber-physical systems (CPS) are continually increasing. Developers and manufacturers of large systems such as industrial printing machines, many-sided agriculture machines, high-speed weaving looms, autonomous driving cars, up to highly safe commercial airplanes are confronted with common technical challenges that span the total product's life cycle from requirements capturing over design and validation up to product family management. In the current project, we will contribute to two main aspects of the mechatronics product life cycle: managing the complexity of evolvable CPS, and system level validation. We will therefore use state of the art model-based design techniques and mutation testing techniques. The objectives of the current project can be summarised as follows: - Becoming a partner in at least one European proposal related to the above topics. To this purpose, we will focus on dedicated networking activities with industry and academia in the European networks in close collaboration with the Nexor IOF valorisation manager. We will target projects in the Digital and Industry Cluster in Pillar 2 (Global Challenges and Industrial Competitiveness), mainly in the areas Key Digital Technologies, Artificial Intelligence and Robotics, Manufacturing Technologies, and Space, as well as in the Pathfinder grants of the European Innovation Council in Pillar 3 (Open Innovation). - Refining the AnSyMo and CoSys-Lab roadmap against the use cases defined by the problem owners within the European consortia we negotiate with. To this purpose, discussions with possible partners (see item above) must lead to better insights in the industrial needs for the upcoming CPS and to better insights in the objectives of the European project types. - At least one demonstrator showing the capabilities of the Ansymo and CoSys-Lab research groups on the related topics, i.e. on consistency management, orchestration, mutation testing, fault injection.

Keywords:MODEL BASED DESIGN

Disciplines:Embedded and real-time systems, Modelling and simulation, Smart sensors