Modeling and Advanced Control for Process Industries: Applications to Paper Making Processes

✍ Scribed by Ming Rao PhD, Qijun Xia PhD, MSc, BSc, Yiqun Ying MSc, BSc (auth.)

• Publisher: Springer-Verlag London
• Year: 1994
• Tongue: English
• Leaves: 304
• Series: Advances in Industrial Control
• Edition: 1
• Category: Library

✦ Synopsis

Due to the complexity of the process operation and the requirements for high quality, low cost, safety and the protection of the environment, an increasing number of pulp and paper companies are in need of an advanced control technology to improve their process operation.
This publication presents, for the first time, the theory of such an advanced control technology as well as various industrial applications associated especially with Paper Making. The reader will gain a better understanding of the most popular and advanced process control techniques and applications of these techniques in an important real-time process industry. The contents are based on the authors' own research on modeling and advanced control in this field.

✦ Table of Contents

Front Matter....Pages I-XI
Background....Pages 1-15
Process Dynamics and Modeling....Pages 17-52
Robust Control....Pages 53-70
Predictive Control....Pages 71-122
Bilinear Control....Pages 123-156
Fault-Tolerant Control....Pages 157-191
Fuzzy Control....Pages 193-214
Expert Systems....Pages 215-244
Modeling via Artificial Neural Network....Pages 245-263
IOMCS for Pulp and Paper Processes....Pages 265-292
Back Matter....Pages 293-297

✦ Subjects

Industrial Chemistry/Chemical Engineering; Control, Robotics, Mechatronics; Manufacturing, Machines, Tools; Artificial Intelligence (incl. Robotics)