Process modeling is one of the key aspects of process systems engineering. It is a significant activity in most major companies around the world, driven by applications such as process optimization, design, and control.

Process Modeling and Modeling Analysis gives a comprehensive treatment of process modeling for the student, researcher, and industrial practitioner. It presents a systematic approach to modeling covering model formulation, documentation, analysis, solution, and validation. Process models depend not only on the process itself, but also on the modeling goal. This book, therefore, places its main emphasis on process models for dynamic simulation and process control purposes.

This book:
* Introduces a structured modeling methodology emphasizing the importance of the modeling goal and including key steps such as model verification, calibration, and validation.
* Focuses on novel and advanced modeling techniques such as discrete, hybrid, hierarchical, and empirical modeling
* Illustrates the notions, tools, and techniques of process modeling with examples and advances applications