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Modeling and Control of Batch Processes : Theory and Applications by Prashant Mhaskar; Abhinav Garg; Brandon Corbett is a Engineering article available to read on EtoBox.

What is Modeling and Control of Batch Processes : Theory and Applications about?

__Modeling and Control of Batch Processes__ presents state-of-the-art techniques ranging from mechanistic to data-driven models. These methods are specifically tailored to handle issues pertinent to batch processes, such as nonlinear dynamics and lack of online quality measurements. In particular, the book proposes: * a novel batch control design with well characterized feasibility properties; * a modeling approach that unites multi-model and partial least squares techniques; * a generalization of the subspace identification approach for batch processes; and applications to several detailed case studies, ranging from a complex simulation test bed to industrial data. The book’s proposed methodology employs statistical tools, such as partial least squares and subspace identification, and couples them with notions from state-space-based models to provide solutions to the quality control problem for batch processes. Practical implementation issues are discussed to help readers understand the application of the methods in greater depth. The book includes numerous comments and remarks providing insight and fundamental understanding into the modeling and control of batch processes. __Mode

Who reads Modeling and Control of Batch Processes : Theory and Applications?

Author

Prashant Mhaskar; Abhinav Garg; Brandon Corbett

Publisher

Springer International Publishing : Imprint: Springer

Published

2019

Language

EN

ISBN

9783030041397

Field

Engineering (Physical Sciences)