Nonlinear Model Based Process Control

1. Front Matter

   Pages i-xiv

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2. Nonlinear Control Based on Linear Models

   1. Front Matter

      Pages 1-1

      PDF

   2. Practical Approaches to Nonlinear Control

      • B. W. Bequette

      Pages 3-32

   3. Multiple Model Adaptive Control (MMAC)

      • Kevin D. Schott, B. Wayne Bequette

      Pages 33-57

   4. Self-Scheduling MPC Using LPV Models

      • Y. Arkun, A. Banerjee, N. M. Lakshmanan

      Pages 59-84

3. Nonlinear Model Based Controller Synthesis

   1. Front Matter

      Pages 85-85

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   2. Insights into the Relationships Between Linear and Nonlinear Model Based Control and Issues for Further Research

      • R. Berber, C. Brosilow

      Pages 87-114

   3. Nonlinear Model-Based Control of Nonminimum-Phase Processes

      • Costas Kravaris, Michael Niemiec, Ridvan Berber, Coleman B. Brosilow

      Pages 115-141

   4. Nonlinear Model-Algorithmic Control: A Review and New Developments

      • Michael Niemiec, Costas Kravaris

      Pages 143-171

   5. Windup and Directionality Compensation in Nonlinear Model-Based Control

      • Masoud Soroush

      Pages 173-208

   6. Internally Stable Linear and Nonlinear Algorithmic Internal Model Control of Unstable Systems

      • R. Berber, C. Brosilow

      Pages 209-233

   7. Approximate I/O-Linearization of Nonlinear Systems

      • F. Allgöwer, F. J. Doyle III

      Pages 235-274

   8. Elementary Nonlinear Decoupling (END), A General Approach to Model Based Control of Nonlinear Multivariable Processes

      • Jens G. Balchen

      Pages 275-310

   9. Control of Nonlinear Differential Algebraic Equation Systems : An Overview

      • Aditya Kumar, Prodromos Daoutidis

      Pages 311-344

   10. Promises and Limitations of Functional Expansions in Nonlinear Model-Based Control

       • Kenneth R. Harris, Ahmet Palazoğlu

       Pages 345-369

   11. Nonlinear Feedback Control of Parabolic PDE Systems

       • Panagiotis D. Christofides, Prodromos Daoutidis

       Pages 371-399

4. On-Line Optimization Approaches for Nonlinear Control

   1. Front Matter

      Pages 401-401

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   2. Contractive Model Predictive Control with Local Linearization for Nonlinear Systems

      • Simone Loureiro de Oliveira, Manfred Morari

      Pages 403-431

   3. Feedback Linearization + Contractive MPC: Stability Analysis / Application to a Polymerization Process

      • Simone Loureiro De Oliveira, Douglas Marcelo Merquior, Enrique Luis Lima

      Pages 433-464

   4. Nonlinear Model Predictive Control Schemes with Guaranteed Stability

      • H. Chen, F. Allgöwer

      Pages 465-494

The ASI on Nonlinear Model Based Process Control (August 10-20, 1997~ Antalya - Turkey) convened as a continuation of a previous ASI which was held in August 1994 in Antalya on Methods of Model Based Process Control in a more general context. In 1994, the contributions and discussions convincingly showed that industrial process control would increasingly rely on nonlinear model based control systems. Therefore, the idea for organizing this ASI was motivated by the success of the first one, the enthusiasm expressed by the scientific community for continuing contact, and the growing incentive for on-line control algorithms for nonlinear processes. This is due to tighter constraints and constantly changing performance objectives that now force the processes to be operated over a wider range of conditions compared to the past, and the fact that many of industrial operations are nonlinear in nature. The ASI intended to review in depth and in a global way the state-of-the-art in nonlinear model based control. The list of lecturers consisted of 12 eminent scientists leading the principal developments in the area, as well as industrial specialists experienced in the application of these techniques. Selected out of a large number of applications, there was a high quality, active audience composed of 59 students from 20 countries. Including family members accompanying the participants, the group formed a large body of92 persons. Out of the 71 participants, 11 were from industry.

• algorithms
• design
• model
• optimization

• Department of Chemical Engineering, Ankara University, Tandoğan, Ankara, Turkey

  Ridvan Berber

• Department of Chemical Engineering, The University of Michigan, Ann Arbor, USA

  Costas Kravaris

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