@inproceedings{11163,
  abstract     = {{Technologies such as TSN and OPC UA are enablers for converged networks in industrial applications. TSN enables the coexistence of network traffic with real-time requirements and best-effort requirements. On the other hand, OPC UA defines a common information model in addition to secure communication, scalability, and platform independence. The new specification of OPC UA PubSub enables the possibility of implementing OPC UA on the lower levels of the automation pyramid, the field level. Therefore, combining these two technologies can in principle be implemented for every vertical and horizontal communication. This document analyzes the state of the art of OPC UA over TSN and explains the first steps towards an easy to use proof-of-concept for a converged network that is also designed to be a testbed. The testbed will be used to evaluate the interoperability of TSN-capable devices from different vendors. In addition to that, different OPC UA PubSub implementations will be used and benchmarked. These future results will present an overview of the currently available products and provides hands-on experiences for practical implementations of converged networks.}},
  author       = {{Konradi, Oliver and Mankowski, Andre and Wisniewski, Lukasz and Trsek, Henning}},
  booktitle    = {{2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  isbn         = {{9781665499965}},
  location     = {{Stuttgart}},
  publisher    = {{IEEE}},
  title        = {{{Towards an Industrial Converged Network with OPC UA PubSub and TSN}}},
  doi          = {{10.1109/ETFA52439.2022.9921646}},
  year         = {{2022}},
}

@inproceedings{4780,
  author       = {{Bunte, Andreas and Wunderlich, Paul and Moriz, Natalia and Li, Peng and Mankowski, Andre and Rogalla, Antje and Niggemann, Oliver}},
  booktitle    = {{24nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  title        = {{{Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS}}},
  year         = {{2019}},
}

@misc{12826,
  abstract     = {{The configuration of current automated production systems is complex and therefore time consuming while the market demands an easy setup and adaptability due to smaller batch sizes and volatile markets. While there are different concepts in research on how to simplify the engineering process by using generic skills or capabilities of devices, run-time control is still achieved with proprietary communication protocols and commands. The concept in this paper uses skills not only in the phase of engineering but also consequently for direct and generic control of field-devices. An executable skill-metamodel therefore describes the methodological functionality which is implemented by using OPC UA due to its vendor independence as well as built-in services and information model. The implementation uses client/server-based OPC UA and the pub/sub pattern to prepare for a deterministic real-time control in conjunction with TSN, which is required by industrial automation.}},
  author       = {{Zimmermann, Patrick and Axmann, Etienne and Brandenbourger, Benjamin and Dorofeev, Kirill and Mankowski, Andre and Zanini, Paulo}},
  booktitle    = {{24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  isbn         = {{978-1-7281-0303-7}},
  issn         = {{1946-0759}},
  keywords     = {{OPC UA, Skills, Capabilities, Engineering, Field-Device, Interoperability, Control}},
  location     = {{Zaragoza, SPAIN}},
  pages        = {{1101--1108}},
  publisher    = {{IEEE}},
  title        = {{{Skill-based Engineering and Control on Field-Device-Level with OPC UA}}},
  doi          = {{10.1109/etfa.2019.8869473}},
  year         = {{2019}},
}

@inproceedings{4808,
  author       = {{Faltinski, Sebastian and Niggemann, Oliver and Moriz, Natalia and Mankowski, Andre}},
  booktitle    = {{2012 IEEE International Conference on Industrial Technology (ICIT)}},
  title        = {{{AutomationML: From Data Exchange to System Planning and Simulation}}},
  year         = {{2012}},
}