Dynamics And Control Of Chemical Reactors And Distillation Columns


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Dynamics and Control of Chemical Reactors and Distillation Columns


Dynamics and Control of Chemical Reactors and Distillation Columns

Author: C. McGreavy

language: en

Publisher: Elsevier

Release Date: 2014-05-23


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Presents the latest results of both academic and industrial research in the control, modelling and dynamics of two of the most fundamental constituents of all chemical engineering plant. Includes contributions on fixed-bed, gas-phase and tubular reactors, thermal cracking furnaces and distillation columns, related to applications in all major areas of chemical engineering, including petrochemicals and bulk chemical manufacture. Contains 51 papers.

Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD'95)


Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD'95)

Author: J.B. Rawlings

language: en

Publisher: Elsevier

Release Date: 2014-05-23


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Three important areas of process dynamics and control: chemical reactors, distillation columns and batch processes are the main topics of discussion and evaluation at the IFAC Symposium on Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD '95). This valuable publication was produced from the latest in the series, providing a detailed assessment of developments of key technologies within the field of process dynamics and control.

Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD+ '92)


Dynamics and Control of Chemical Reactors, Distillation Columns and Batch Processes (DYCORD+ '92)

Author: J.G. Balchen

language: en

Publisher: Elsevier

Release Date: 2014-05-23


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In addition to the three main themes: chemical reactors, distillation columns, and batch processes this volume also addresses some of the new trends in dynamics and control methodology such as model based predictive control, new methods for identification of dynamic models, nonlinear control theory and the application of neural networks to identification and control. Provides a useful reference source of the major advances in the field.