Methods of Model Based Process Control

Author:   R. Berber
Publisher:   Springer
Edition:   1995 ed.
Volume:   293
ISBN:  

9780792335245


Pages:   826
Publication Date:   31 May 1995
Format:   Hardback
Availability:   Out of stock   Availability explained
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Methods of Model Based Process Control


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Overview

Model-based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. This text offers reports on model-based control technology presented by scientists worldwide and experts from industry. Important issues that a mode-based control system has to address are covered, 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 is presented with ideas, industrial applications and views of future needs and challenges.

Full Product Details

Author:   R. Berber
Publisher:   Springer
Imprint:   Springer
Edition:   1995 ed.
Volume:   293
Dimensions:   Width: 15.50cm , Height: 4.40cm , Length: 23.50cm
Weight:   1.605kg
ISBN:  

9780792335245


ISBN 10:   0792335244
Pages:   826
Publication Date:   31 May 1995
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

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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