From Plant Data to Process Control: Ideas for Process Identification and PID Design

Description

Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production. This book covers the most up-to-date techniques and algorithms in the area of process identification (PID) and process control, two key components of process engineering, essential for optimizing production systems. It examines both the theoretical advances in process design and control theory, and a wide variety of implementations. A wide variety of approaches are presented for building models of dynamical systems based on observed data (process identification) and for making the output of a system behave in a desired fashion by properly selecting the process input (process control).

"The book provides a useful reference for engineers and researchers working in the fields of system identification and control." The International Journal of Advanced Manufacturing Technology