Timed coloured petri net simulation model for reinforcement learning in the context of production systems S Riedmann, J Harb, S Hoher Production at the Leading Edge of Technology: Proceedings of the 11th …, 2022 | 7 | 2022 |
Strategies for developing a supervisory controller with deep reinforcement learning in a production context J Harb, S Riedmann, S Wegenkittl 2022 IEEE Conference on Control Technology and Applications (CCTA), 869-874, 2022 | 3 | 2022 |
Incorporating Design Principles in Industry 4.0 System Architecture using Reference Architectures S Riedmann, C Binder, C Neureiter Proceedings of the 4th IFSA Winter Conference on Automation, Robotics …, 2024 | 1 | 2024 |
Application of FMVEA by Design for Adding Smart Functionalities to an Existing Campervan C Binder, S Hoher, B Maxim, S Riedmann, C Neureiter, S Huber 2024 IEEE International Symposium on Systems Engineering (ISSE), 1-6, 2024 | | 2024 |
A Domain-Specific Language Extension for Incorporating Resource Capability Modeling into RAMI 4.0 S Riedmann, C Binder, J Vollmar, C Neureiter, A Luder 2024 IEEE 29th International Conference on Emerging Technologies and Factory …, 2024 | | 2024 |
Rolling the Dice–Rethinking the RAMI 4.0 Perspectives K Meixner, D Hoffmann, S Riedmann, P Hünecke, C Binder 2024 IEEE 29th International Conference on Emerging Technologies and Factory …, 2024 | | 2024 |
Identifying Reference Architecture Types for Stakeholder Groups in Industry 4.0 S Riedmann, C Binder, C Neureiter INCOSE International Symposium 34 (1), 1119-1134, 2024 | | 2024 |
IT/OT Integration by Design G Schäfer, H Waclawek, S Riedmann, C Binder, C Neureiter, S Huber INCOSE International Symposium 34 (1), 337-352, 2024 | | 2024 |
Ensuring the Application of Industry 4.0 Design Principles by Using Reference Architectures S RIEDMANN, C BINDER, C NEUREITER Sensors & Transducers 265 (2), 97-105, 2024 | | 2024 |