menu
{ "item_title" : "Advanced Control of Industrial Processes", "item_author" : [" Piotr Tatjewski "], "item_description" : "Advanced Control of Industrial Processes presents the concepts and algorithms of advanced industrial process control and on-line optimisation within the framework of a multilayer structure. Relatively simple unconstrained nonlinear fuzzy control algorithms and linear predictive control laws are covered, as are more involved constrained and nonlinear model predictive control (MPC) algorithms and on-line set-point optimisation techniques. Major topics and key features include: Derivation of practical MPC algorithms with linear process models; Development of computationally effective MPC structures for nonlinear process models, utilising on-line model linearisations and fuzzy reasoning; General presentation of the subject of on-line set-point improvement and optimisation; Complete theoretical stability analysis of fuzzy Takagi-Sugeno control systems; Illustration of the methodologies and algorithms by worked examples in the text and by results of simulations based on industrial process models.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/84/628/634/1846286344_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Advanced Control of Industrial Processes|Piotr Tatjewski

Advanced Control of Industrial Processes : Structures and Algorithms

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

"Advanced Control of Industrial Processes" presents the concepts and algorithms of advanced industrial process control and on-line optimisation within the framework of a multilayer structure. Relatively simple unconstrained nonlinear fuzzy control algorithms and linear predictive control laws are covered, as are more involved constrained and nonlinear model predictive control (MPC) algorithms and on-line set-point optimisation techniques.

Major topics and key features include: Derivation of practical MPC algorithms with linear process models; Development of computationally effective MPC structures for nonlinear process models, utilising on-line model linearisations and fuzzy reasoning; General presentation of the subject of on-line set-point improvement and optimisation; Complete theoretical stability analysis of fuzzy Takagi-Sugeno control systems; Illustration of the methodologies and algorithms by worked examples in the text and by results of simulations based on industrial process models.

This item is Non-Returnable

Details

  • ISBN-13: 9781846286346
  • ISBN-10: 1846286344
  • Publisher: Springer
  • Publish Date: December 2006
  • Dimensions: 9.21 x 6.14 x 0.81 inches
  • Shipping Weight: 1.48 pounds
  • Page Count: 332

Related Categories

You May Also Like...

    1

BAM Customer Reviews