Extrapolability of structured hybrid models: a key to optimization of complex processes

Equadiff 99, pp. 1135-1151 (2000) No AccessExtrapolability of structured hybrid models: a key to optimization of complex processesAndreas A. SchuppertAndreas A. SchuppertZT - TE 2, Bayer AG, 51368 Leverkusen, GermanyPhone: +[49] - 214 - 302 3491, FAX: +[49] - 214 - 30 64801.https://doi.org/10.1142/9789812792617_0218Cited by:6 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: Model-based control and optimization, hitherto suffering from a severe lack of available models, dramatically progresses using Structured Hybrid Models (SHM). Combining rigorous and black-box models with a knowledge-based flowsheet, SHM's are extrapolable, if the flowsheet depicts the real process structure, if the dimension of the data-base can be reduced, and if the model can be identified using overall process data. Mathematical considerations going back to Kolmogoroff, Arnold and Vitushkin show that SHM's have the potential for extrapolability, even for complex flowsheets. SHM extrapolability only depends on the complexity of the constituting black-boxes. SHM's exhibit significant practical advantages over traditional techniques and are open for new fields of application. Keywords: process modellingstructured hybrid modelsdata-based process modelling FiguresReferencesRelatedDetailsCited By 6Integration of machine learning and first principles modelsLokesh Rajulapati, Sivadurgaprasad Chinta, Bala Shyamala and Raghunathan Rengaswamy27 April 2022 | AIChE Journal, Vol. 68, No. 6A framework of hybrid model development with identification of plant‐model mismatchYingjie Chen and Marianthi Ierapetritou15 August 2020 | AIChE Journal, Vol. 66, No. 10Applications of hybrid models in chemical, petroleum, and energy systems: A systematic reviewSohrab Zendehboudi, Nima Rezaei and Ali Lohi1 Oct 2018 | Applied Energy, Vol. 228Combination of a Proteomics Approach and Reengineering of Meso Scale Network Models for Prediction of Mode-of-Action for Tyrosine Kinase InhibitorsStefan Balabanov, Thomas Wilhelm, Simone Venz, Gunhild Keller and Christian Scharf et al.9 January 2013 | PLoS ONE, Vol. 8, No. 1A grey-box modeling approach for the reduction of nonlinear systemsReinout Romijn, Leyla Özkan, Siep Weiland, Jobert Ludlage and Wolfgang Marquardt1 Oct 2008 | Journal of Process Control, Vol. 18, No. 9The validity domain of hybrid models and its application in process optimizationO. Kahrs and W. Marquardt1 Nov 2007 | Chemical Engineering and Processing: Process Intensification, Vol. 46, No. 11 Equadiff 99Metrics History Keywordsprocess modellingstructured hybrid modelsdata-based process modellingPDF download