Fuzzy harmony search based optimal control strategy for wireless cyber physical system with industry 4.0

Author:

Abidi Mustufa HaiderORCID,Alkhalefah Hisham,Umer Usama

Funder

King Saud University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Reference38 articles.

1. Abid, M., Khan, A. Q., & Rehan, M. (2014). TS fuzzy approach for fault detection in nonlinear cyber physical systems. In: Computational intelligence for decision support in cyber-physical systems (pp. 421–447). Singapore: Springer.

2. Al-Janabi, S., & Al-Shourbaji, I. (2016). A study of cyber security awareness in educational environment in the middle east. Journal of Information and Knowledge Management, 15(01), 1650007.

3. Ashibani, Y., & Mahmoud, Q. H. (2017). Cyber physical systems security: analysis, challenges and solutions. Computers and Security, 68, 81–97.

4. Assad, A., & Deep, K. (2016). Applications of harmony search algorithm in data mining: a survey. In: Proceedings of fifth international conference on soft computing for problem solving (pp. 863–874). Singapore: Springer.

5. Brings, J., Daun, M., Bandyszak, T., Stricker, V., Weyer, T., Mirzaei, E., et al. (2019). Model-based documentation of dynamicity constraints for collaborative cyber-physical system architectures: findings from an industrial case study. Journal of Systems Architecture, 97, 153–167.

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