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Methods of Model Based Process Control - edition reliée, livre de poche

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Methods of Model Based Process Control - edition reliée, livre de poche

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Methods of Model Based Process Control
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ISBN:

0792335244


Model based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. The reader of Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to information integration. Specific emerging topics are also covered, such as robust control and nonlinear model predictive control. In addition to critical reviews of recent advances, the reader will find new ideas, industrial applications and views of future needs and challenges. Audience: A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their exploration of the latest trends in the area.

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EAN (ISBN-13): 9780792335245
ISBN (ISBN-10): 0792335244
Version reliée
Livre de poche
Date de parution: 1995
Editeur: Springer Netherlands
844 Pages
Poids: 1,409 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-10-18T19:18:06+02:00 (Paris)
Page de détail modifiée en dernier sur 2023-04-07T20:34:38+02:00 (Paris)
ISBN/EAN: 0792335244

ISBN - Autres types d'écriture:
0-7923-3524-4, 978-0-7923-3524-5
Autres types d'écriture et termes associés:
Auteur du livre: berber
Titre du livre: model based control, antalya, model volume, process model

Données de l'éditeur

Auteur: R. Berber
Titre: NATO Science Series E:; Methods of Model Based Process Control
Editeur: Springer; Springer Netherland
826 Pages
Date de parution: 1995-05-31
Dordrecht; NL
Langue: Anglais
534,99 € (DE)
549,99 € (AT)
590,00 CHF (CH)
Available
XIV, 826 p.

BB; Hardcover, Softcover / Technik/Maschinenbau, Fertigungstechnik; Maschinenbau; Verstehen; design; fuzzy; model; modeling; numerical methods; optimization; polymer; simulation; Mechanical Engineering; Industrial Chemistry; Calculus of Variations and Optimization; Electrical and Electronic Engineering; Industrielle Chemie und Chemietechnologie; Optimierung; Elektrotechnik; BC

Towards a Process Modeling Methodology.- Numerical Methods for the Simulation of Differential-Algebraic Process Models.- Process Identification Techniques.- Input-Output Modeling for Process Control.- Frequency Domain Methods for Analysis and Design-I. ?-Infinity Methods and Robust Control.- Frequency Domain Methods for Analysis and Design- II. Input-Output Controllability Analysis of SISO Systems.- Mp Tuning and Synthesis.- Robust Control of Linear Time-Varying Systems with Constraints.- New Results on Robust Controller Design for Chemical Processes.- Analysis and Synthesis Methods for Robust Model Predictive Control.- Attainable Performance in LQG Control.- State Space Interpretation of Model Predictive Control.- Topics in Model Predictive Control.- Nonlinear Moving Horizon State Estimation.- Optimization in Model Predictive Control.- Internal Model Predictive Control.- Adaptive Model Predictive Control.- Control of Batch Reactors: A Review.- Real-time Optimization and MultivariableControl of Polymer Reactors.- Control of Nonlinear Systems Using Input-Output Information.- A Stability Analysis of Nonlinear Model Predictive Control.- The Design of Nonlinear Predictive Controllers: Application to a Drug Infusion System.- Nonlinear Model Predictive Control Using Neural Net Plant Models.- An Industrial Perspective on the Evolution of Control Technology.- Modular Multivariable Controlof the Shell Heavy Oil Fractionator.- An Industrial Implementation of a Model Based Control Strategy.- Model Predictive Control of a Gas-Oil-Water Separator Train.- Integrating Information, Management and Control in Process Industries.- Fuzzy Control- an Alternative to Model Based Control.- Self Learning Model Based Fuzzy Controller.- Fuzzy Control of Distillation Columns With and Without Side Streams.- Appendices.- I. Titles of poster presentations.- II. Some views by the contributors about the discussed issues and research directions.- III. Summary of the Control Research Presented at the Institute: A Cartoon Representation (by B.W. Bequette).- IV. Keeping with the Tradition:’ special Awards’ of the Meeting (by B.W. Bequette).- V. List of Participants.- V. List of Participants.

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