Advanced Control of Industrial Processes : Structures and Algorithms
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.
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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
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