Motivation -- Part I: First-Principles Model Based Control -- Part II: Integrating Multi-Model Dynamics With PLS Based Approaches -- Part III: Subspace Identification Based Modeling Approach for Batch Processes.
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SUMMARY OR ABSTRACT
Text of Note
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;