The third edition of Process Systems Analysis and Control retains the excellent style for which this book is well known: short, clearly written chapters. The book is an ideal teaching and learning tool for a semester-long undergraduate chemical engineering course in process dynamics and control. It avoids the encyclopedic approach that many texts on this topic fall into. The third edition is updated to include new topics, including model predictive control and digital control, that are introduced at a level appropriate for the undergraduate chemical engineering curriculum. Computer examples using MATLAB and Simulink have been introduced throughout the book to supplement and enhance standard hand-solved examples. These packages allow the easy construction of block diagrams and quick analysis of control concepts to enable the student to explore "what-if" type problems that would be much more difficult and time consuming by hand. Many new homework problems have been added to each chapter. The new problems are a mixture of hand-solved and computer exercises. One-page capsule summaries have been added to the end of each chapter to help students review and study the most important concepts in each chapter.

This straightforward text makes the complicated but powerful methods of non-linear control accessible to process engineers. Not only does it cover the necessary mathematics, but it consistently refers to the widely-known finite-dimensional linear time-invariant continuous case as a basis for extension to the nonlinear situation.

Process Modelling and Model Analysis describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various aspects of the process. For example, process engineers would apply models to perform feasibility analyses of novel process designs, assess environmental impact, and detect potential hazards or accidents. To manage complex systems and enable process design, the behavior of systems is reduced to simple mathematical forms. This book provides a systematic approach to the mathematical development of process models and explains how to analyze those models. Additionally, there is a comprehensive bibliography for further reading, a question and answer section, and an accompanying Web site developed by the authors with additional data and exercises. - 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

The new 4th edition of Seborg’s Process Dynamics Control provides full topical coverage for process control courses in the chemical engineering curriculum, emphasizing how process control and its related fields of process modeling and optimization are essential to the development of high-value products. A principal objective of this new edition is to describe modern techniques for control processes, with an emphasis on complex systems necessary to the development, design, and operation of modern processing plants. Control process instructors can cover the basic material while also having the flexibility to include advanced topics.

This book examines control of nonlinear systems. Coverage ranges from mathematical system theory to practical industrial control applications. The author offers web-based videos illustrating some dynamical aspects and case studies in simulation.

Introductory Systems Analysis for Process Engineers places an emphasis on dynamic models derived using unsteady-state material and energy balances. Examples include chemical reactions, heat and mass transfer, and residence time distributions in flowsystems. This book is intended as an undergraduate text for junior or senior year process engineers. It provides the mathematics needed for more advanced courses in process control, chemical reaction engineering, and process design.