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{ "item_title" : "Modeling and Advanced Control for Process Industries", "item_author" : [" Ming Rao", "Qijun Xia", "Yiqun Ying "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/44/712/096/1447120965_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Modeling and Advanced Control for Process Industries|Ming Rao

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

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Overview

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.

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Details

  • ISBN-13: 9781447120964
  • ISBN-10: 1447120965
  • Publisher: Springer
  • Publish Date: December 2011
  • Dimensions: 9.21 x 6.14 x 0.65 inches
  • Shipping Weight: 0.97 pounds
  • Page Count: 297

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