Methods of Model Based Process Control
Proceedings of the NATO Advanced Study Institute, Antalya, Turkey, August 7--17, 1994
Published on 31. May 1995
Book
Hardback
XIV, 826 pages
978-0-7923-3524-5 (ISBN)
Description
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 explorationof the latest trends in the area.
Audience : A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their explorationof the latest trends in the area.
More details
Series
Edition
1995 ed.
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Illustrations
XIV, 826 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 50 mm
Weight
1414 gr
ISBN-13
978-0-7923-3524-5 (9780792335245)
DOI
10.1007/978-94-011-0135-6
Schweitzer Classification
Other editions
Additional editions
R. Berber
Methods of Model Based Process Control
E-Book
12/2012
1st Edition
Springer
€523.23
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R. Berber
Methods of Model Based Process Control
Book
11/2012
Springer
€534.99
Shipment within 15-20 days
Content
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.