Physics-Constrained Deep Learning for Isothermal CSTR

• Main Authors: Kiew, L.L., Abdul Karim, S.A., Izzatullah, M.
• Format: Article
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Online Access: http://scholars.utp.edu.my/id/eprint/34085/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140256847&doi=10.1007%2f978-3-031-04028-3_2&partnerID=40&md5=57bc2fe73be90b9d898ffe195e63914a

This research study investigates the approach of using physics-constrained deep learning in modelling isothermal continuous stirred-tank reactor (CSTR) to address the challenges in its current process control and optimisation. An inaccurate system identification affects prediction and consequently d...