\u003cp\u003e\u003ci\u003eModeling and Control of Dynamic Spatially Distributed Systems: Pharmaceutical Processes\u003c/i\u003e 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\u0026D design time cycle of original drug development.\u003c/p\u003e\u003cul\u003e\u003cli\u003eProvides an updated, supplemental knowledge to the body of distributed parameter systems\u003c/li\u003e\u003cli\u003eCovers control and analysis framework based on a state-space approach for a non-standard model from industrial complex systems\u003c/li\u003e\u003cli\u003ePresents a novel proposed fuzzy set and applies it to case studies to illustrate its feasibility\u003c/li\u003e\u003cli\u003eIncludes a control system design solution from perspective of medicine production\u003c/li\u003e\u003c/ul\u003e
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