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.

• Provides an updated, supplemental knowledge to the body of distributed parameter systems
• Covers control and analysis framework based on a state-space approach for a non-standard model from industrial complex systems
• Presents a novel proposed fuzzy set and applies it to case studies to illustrate its feasibility
• Includes a control system design solution from perspective of medicine production