Cite
Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring.
MLA
Qin, S.Joe, et al. “Bridging Systems Theory and Data Science: A Unifying Review of Dynamic Latent Variable Analytics and Process Monitoring.” Annual Reviews in Control, vol. 50, July 2020, pp. 29–48. EBSCOhost, https://doi.org/10.1016/j.arcontrol.2020.09.004.
APA
Qin, S. J., Dong, Y., Zhu, Q., Wang, J., & Liu, Q. (2020). Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring. Annual Reviews in Control, 50, 29–48. https://doi.org/10.1016/j.arcontrol.2020.09.004
Chicago
Qin, S. Joe, Yining Dong, Qinqin Zhu, Jin Wang, and Qiang Liu. 2020. “Bridging Systems Theory and Data Science: A Unifying Review of Dynamic Latent Variable Analytics and Process Monitoring.” Annual Reviews in Control 50 (July): 29–48. doi:10.1016/j.arcontrol.2020.09.004.