Modeling and Control of Dynamic Spatially Distributed Systems: Pharmaceutical Processes

Modeling and Control of Dynamic Spatially Distributed Systems: Pharmaceutical Processes book cover

Modeling and Control of Dynamic Spatially Distributed Systems: Pharmaceutical Processes

Author(s): Wang (Author)

  • Publisher: Academic Press
  • Publication Date: 15 Nov. 2024
  • Language: English
  • Print length: 316 pages
  • ISBN-10: 0323953921
  • ISBN-13: 9780323953924

Book Description

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

Editorial Reviews

Review

A control system design solution from the perspective of pharmaceutical production

From the Back Cover

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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