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.

Modeling and Advanced Control for Process Industries: Applications to Paper Making Processes (Advances in Industrial Control)

Computers & Technology

Rao, Ming

Xia, Qijun

Ying, Yiqun

Computer Science

Springer

<p>The main objectives of this book are a) to provide a refe- rence book for teaching graduate and undergraduate students in control systems, distributedAI, computer integrated ma- nufacturing, AI in engineering applications and computer science, b) to help professional research staff to trace the up-to-date technology developed in above areas; and c) to provide a self-instruction tutoring book for retraining en- gineers in industry. In order to accomplish the above objec- tives this book provides the following special features: 1. fundamental knowledge about intelligent control and integra- ted intelligent system, 2. primary concepts, 3. functions analyses of meta-system 4. the newest development in distri- buted AI, 5. the coherent integration of academic research and real industrial applications, 6. a comprehensive, syste- matic and original work through stages as philosophy, metho- dology, functionality, architecture, implementation and ap- plications.</p>

Integrated System for Intelligent Control (Lecture Notes in Control and Information Sciences, 167)

Reference

<p>Examines recent research results on integrated intelligent systems for engineering design based on distributed artificial intelligence (DAI), computer-integrated manufacturing systems (CIMS), and intelligent computer-aided design systems (ICAD). Presents both theory fundamentals and implementation technology, as well as industrial applications. Introduces a new problem-solving strategy for engineering design and its implementation based on integrated distributed artificial intelligence technology in detail. Explores six application case studies, including missile system design, mechanical transmission design, process control system design, and chemical process design.</p>

Integrated Distributed Intelligent Systems for Engineering Design

Wang, Qun

Zhou, Ji

CRC-Press

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