This book investigates the application of advanced control strategies to optimize the paper and board manufacturing process. It details fundamental concepts of quality and product control, progressing to sophisticated techniques like artificial neurofuzzy network modeling and the design of supervisory control systems, specifically tailored for the paper and board industry.

The book is structured as a technical guide, likely appealing to engineers and professionals within the paper and board industry seeking to enhance their understanding and implementation of advanced control systems. Its focus on specific modeling techniques and supervisory control suggests a detailed, application-oriented approach to process optimization.