Beschreibung:
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:
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.