Advanced Control of Industrial Processes: Structures and Algorithms

By Piotr Tatjewski

"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.

• Format: Paperback
• Language: English
• ISBN: 184996632X
• ISBN13: 9781849966320
• Release Date: October 2010
• Publisher: Springer
• Length: 332 Pages
• Weight: 1.10 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"