Modeling and Control of Dynamic Spatially Distributed Systems: Pharmaceutical Processes provides a balanced approach to help readers to get started quickly in the field of biochemical pharmaceuticals. From a theoretical perspective, dynamic spatially distributed systems are introduced to address their industrial applications. After identifying problems, the book provides readers with modeling and control system design techniques via a novel fuzzy set (class of objects with a continuum of grades of membership, to describe the grade of the object belonging to this fuzzy set) and intelligent computation methods.
From an application perspective, the book provides a thorough understanding of Good Manufacture Practices (GMP) and the importance of identification, modelling, and intelligent control of such systems, reducing the test-and-error cost, and the R&D design time cycle of original drug development.
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Table of Contents
PART 1 Background
1. Dynamic Spatially Distributed Systems: Pharmaceutical Processes
2. Fundamentals of Fuzzy Control
3. Pharmaceutical Engineering And Processes
PART 2 Modeling of Dynamic spatially Distributed systems
4. Introduction to Depyrogenation Tunnel
5. Conventional Methods in Modelling and Simulation of Depyrogenation Tunnel
6. Quasi-Guassian Fuzzy Sets and Approximation
7. Quasi-Guassian Fuzzy Systems and Applications
PART 3 Intelligent Control Methods Of Dynamic Spatially Distributed Systems
8. General Control methods of Depyrogenation Tunnel
9. Hierarchical Fuzzy Control Of Depyrogenation Tunnel
10. Conclusions and Future Prospects