Process Control

Process Control introduces an emerging area in process control control system analysis and design based on the concept of passive systems. Passive systems are a class of processes that dissipate certain types of physical or virtual energy, defined by Lyapunov-like functions. Passivity and associated stability conditions form one of the cornerstones in control theory and have recently begun to be applied in process control. Defined as an input-output property, the concept of passivity implies stability conditions for interconnected systems. Passive systems are minimum phase and thus very easy to control via output feedback, even if they are highly nonlinear and coupled. Therefore, the passivity framework can be used in process input-output controllability analysis as well as control design. Here, the concept of passive systems is also linked to process thermodynamics to provide process engineers with insights into the physical bases of the above results.§In this book, passivity-based developments in the areas of robust process control, decentralized control, fault tolerant control, process controllability analysis and nonlinear process control are addressed systematically for the first time. Written for the industrial, engineering and academic communities, the emphasis is placed on results that enhance insight and intuition. Application issues are illustrated by case studies in all the main chapters. MATLAB® routines for selected examples and a library of functions that implement the system analysis and control design methods developed in Process Control can be downloaded from springer.com. This book presents the reader with both the conceptual framework and practical tools for passivity-based system analysis and control.Passivity and associated stability conditions form one of the cornerstones in control theory and have begun to be applied in process control. In this book, passivity-based developments in all areas of control theory are addressed systematically for the first time. The emphasis is placed on real results that add insight. Case studies illustrate applications in all the main chapters. MATLAB® routines and a library of functions that implement the methods developed in the book can be downloaded from springer.com.