Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
ADCHEM '94
ADCHEM '94 IFAC Symposium, Advanced Control of Chemical Processes, 25-27 May 1994, Kyoto, Japan
Author:
Publisher:
ISBN:
Category : Chemical process control
Languages : en
Pages : 107
Book Description
Publisher:
ISBN:
Category : Chemical process control
Languages : en
Pages : 107
Book Description
IFAC Symposium ADCHEM '94
Special Issue
Author:
Publisher:
ISBN:
Category : Chemical process control
Languages : en
Pages : 299
Book Description
Publisher:
ISBN:
Category : Chemical process control
Languages : en
Pages : 299
Book Description
ADCHEM '94 IFAC Symposium
IFAC Symposium Advanced Control of Chemical Processes ADCHEM '94, May 25-27, 1994, Kyoto, Japan
Preprints
Author: International Federation of Automatic Control
Publisher:
ISBN:
Category : Chemical process control
Languages : en
Pages : 557
Book Description
Publisher:
ISBN:
Category : Chemical process control
Languages : en
Pages : 557
Book Description
Advanced Control of Chemical Processes 1994
Author: D. Bonvin
Publisher: Elsevier
ISBN: 1483297594
Category : Technology & Engineering
Languages : en
Pages : 561
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.
Publisher: Elsevier
ISBN: 1483297594
Category : Technology & Engineering
Languages : en
Pages : 561
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.