Many modern industrial systems fall in the realm of Cyber-Physical Systems (CPS) because of the tight interaction between computation, communication and control elements (the cyber part), and physical processes such as motion, heating/cooling, vibration, wear and tear (the physical part) within these systems. Traditional design methods involve multiple, often isolated, design phases involving different disciplines (mechanical, electrical, control and software engineering). Requirements related to cost, quality and reliability enforce designs with over-provisioning of platform resources (computation, communication, memory) by large margins at each phase to be able to fulfill system-level requirements in the worst-case scenarios. To replace such overly conservative design process, there is an urgent need for integrative design trajectories that allow for tradeoffs between cost, quality and reliability coping with the tight coordination between the cyber and the physical components. This gives rise to the need for models that accurately capture the interaction between various components (e.g., software, electronics, mechanics, algorithms, power, energy, etc.) and novel design methods that exploit the artifacts of the underlying platforms.
The key scientific objective of the oCPS program is to enable the design of a new generation of cost-effective, quality-driven and reliable CPS by developing model-driven design methods that capture the interaction between different models at various design layers, that take into account physical constraints and processes, and that introduce platform-awareness at all levels. The program aims to train a generation of young researchers in cross-disciplinary thinking and deliver industrially validated tool chains. We bring together the state of the practice through six key industrial players, including SMEs, and the state of the art through four top universities and one research institute across Europe.
Fields of science
- engineering and technologymechanical engineeringvehicle engineeringautomotive engineeringautonomous vehicle
- natural sciencescomputer and information sciencessoftware
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringautomation and control systems
Call for proposal
See other projects for this call
Funding SchemeMSCA-ITN-ETN - European Training Networks
1119 NG Schiphol Rijk
5684 PC Best
19461 Upplands Vasby