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• Tatjewski, Piotr - Advanced control of industrial processes: structures and algorithms.

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Contenido

'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.

   INDICE: Multilayer Control Structure.- Model-based Fuzzy Control.- Model-based Predictive Control.- Set-point Optimization.

Interés para ...

Academic researchers in control systems and control engineering; control and software engineers working in process and chemical engineering environments; graduate students studying control in Electrical, Mechanical or Chemical Engineering Departments; libraries

Detalles del artículo

• Páginas : 332
• Editorial : Springer
• Idioma : Inglés
• Fecha de Publicación : 01/01/2007
• ISBN: 9781846286346
• Serie: Advances in industrial control
• Encuadernación : Cartoné
• Nº Volúmenes : 1
• País de Publicación : Reino Unido (INGLATERRA)
• Lugar de Publicación : London