Ключові файли

Gausemeier, Jürgen & Rammig, Franz & Schäfer, Wilhelm. (2014). Design Methodology for Intelligent Technical Systems: Develop Intelligent Technical Systems of the Future. doi: 10.1007/978-3-642-45435-6.2.

Lee, D., He, N., Kamalaruban, P., and Cevher, V. (2020). “Optimization for Reinforcement Learning: From a single agent to cooperative agents”, IEEE Signal Processing Magazine, vol. 37, no. 3, pp. 123–135. doi:10.1109/MSP.2020.2976000.3.

Hacker, Kurt (2000). Comparison Of Design Methodologies In The Preliminary Design Of A Passenger Aircraft. doi:10.2514/6.1999-11.4.

Wang, H., Chen, X., Wu, Q., Yu, Q., Zheng, Z., Bouguettaya, A. (2014). Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition. In: Franch, X., Ghose, A.K., Lewis, G.A., Bhiri, S. (eds) Service-Oriented Computing. ICSOC 2014. Lecture Notes in Computer Science, vol 8831. Springer, Berlin, Heidelberg. doi.org:10.1007/978-3-662-45391-9_11.5.

Graessler, Iris and Hentze, Julian (2020). "The new V-Model of VDI 2206 and its validation" at - Automatisierungstechnik, vol. 68, no. 5, pp. 312-324. doi:10.1515/auto-2020-0015.6.

TECHNICAL SPECIFICATION. IEC PAS 63088:2017 - Smart manufacturing - Reference architecture model industry 4.0 (RAMI4.0) (2017). Retrieved from: https://webstore.iec.ch/publication/300827.

Alignment Report for Reference Architectural Model for Industrie 4.0. Intelligent Manufacturing System Architecture (2018).  Retrieved from: https://www.plattform-i40.de/PI40/Redaktion/DE/Downloads/Publikation/hm-2018-manufactoring.html.

STANDARD. VDI 2206:2004 - Design Methodology For Mechatronic Systems. Verlag des Vereins Deutscher Ingenieure (2004). Retrieved from: https://www.vdi.de/richtlinien/details/vdi-2206-design-methodology-for-mechatronic-systems