Hybrid Modeling in Process Industries

This title introduces the underlying theory and demonstrates practical applications in different process industries using hybrid modeling.


It reviews hybrid modeling approach applicability in wide range of process industries, recommends how to increase hybrid model performance and throw Insights into cost efficient practices in modeling techniques


Discusses advance process operation maximizing the benefits of available process knowledge and Includes real-life and practical case studies

1. Benefits and challenges of hybrid modelling in the process industries: An introduction. 2. Hybrid Model Structures for Knowledge Integration. 3. Hybrid models and Experimental Design. 4. Hybrid model identification and discrimination with practical examples from the chemical industry. 5. Hybrid modeling of biochemical processes. 6. Hybrid modelling of petrochemical processes. 7. Implementation of hybrid neural models to predict the behaviour of food transformation and food waste valorisation processes. 8. Hybrid modelling of pharmaceutical processes and PAT.