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Advanced Control of Industrial Processes: Structures and Algorithms
Hardcover
Series: Advances in Industrial Control
Technology & EngineeringChemistryGeneral Mathematics
ISBN13: 9781846286346
Publisher: Springer Nature
Published: Dec 5 2006
Pages: 332
Weight: 1.48
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English
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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