Modelling 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.
Table of Contents
PART 1 Background 1. Fundamental of Fuzzy Control Theory and Its Recent Applications 2. Dynamic Spatially Distributed Systems 3. Bio-Pharmaceutical Process And CGMPS
PART 2 Advanced Fuzzy Theory 4. Type-2 Quasi-Guassian Fuzzy Set 5. Type-2 Quasi-Guassian Fuzzy Systems 6. General Applications of Type-2 Quasi-Guassian Fuzzy Systems
PART 3 Applications: Modelling and Intelligent Control of Depyrogenation Tunnel 7. Introduction to Depyrogenation Tunnel 8. Conventional Methods in Modelling and Control of Depyrogenation Tunnel 9. Fuzzy Approximation with Type-2 Quasi-Guassian Fuzzy Systems 10. Neural Network and Fuzzy Control of Depyrogenation Tunnel 11. Conclusions and Prospects