Special Issue on Advanced Control of Chemical Processes PDF Download
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Author: Lorenz T. Biegler
Publisher:
ISBN:
Category :
Languages : en
Pages : 111
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Book Description
Author: Lorenz T. Biegler
Publisher:
ISBN:
Category :
Languages : en
Pages : 111
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Book Description
Author:
Publisher:
ISBN:
Category : Chemical process control
Languages : en
Pages : 299
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Book Description
Author: Yaman Arkun
Publisher:
ISBN:
Category :
Languages : en
Pages : 223
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Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Frank Allgöwer
Publisher:
ISBN: 9780080441443
Category : Chemical process control
Languages : en
Pages : 965
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Book Description
Author: D. Bonvin
Publisher: Elsevier
ISBN: 1483297594
Category : Technology & Engineering
Languages : en
Pages : 561
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Book Description
This publication brings together the latest research findings in the key area of chemical process control; including dynamic modelling and simulation - modelling and model validation for application in linear and nonlinear model-based control: nonlinear model-based predictive control and optimization - to facilitate constrained real-time optimization of chemical processes; statistical control techniques - major developments in the statistical interpretation of measured data to guide future research; knowledge-based v model-based control - the integration of theoretical aspects of control and optimization theory with more recent developments in artificial intelligence and computer science.
Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 688
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Book Description
Author: Thomas A. Badgwell
Publisher:
ISBN:
Category :
Languages : en
Pages : 6
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Author: ADCHEM
Publisher:
ISBN:
Category :
Languages : en
Pages : 217
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Book Description
Author: K. Najim
Publisher: Elsevier
ISBN: 1483298973
Category : Technology & Engineering
Languages : en
Pages : 313
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Book Description
This volume contains 40 papers which describe the recent developments in advanced control of chemical processes and related industries. The topics of adaptive control, model-based control and neural networks are covered by 3 survey papers. New adaptive, statistical, model-based control and artificial intelligence techniques and their applications are detailed in several papers. The problem of implementation of control algorithms on a digital computer is also considered.
