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Advanced Control of Chemical Processes 1994

Advanced Control of Chemical Processes 1994 PDF 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.

Advanced Control of Chemical Processes 1994

Advanced Control of Chemical Processes 1994 PDF 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.

Advanced Control of Chemical Processes

Advanced Control of Chemical Processes PDF Author: D. Bonvin
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


ADCHEM '94

ADCHEM '94 PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


IFAC Symposium Advanced Control of Chemical Processes ADCHEM '94, May 25-27, 1994, Kyoto, Japan

IFAC Symposium Advanced Control of Chemical Processes ADCHEM '94, May 25-27, 1994, Kyoto, Japan PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 557

Book Description


Preprints

Preprints PDF Author: International Federation of Automatic Control
Publisher:
ISBN:
Category : Chemical process control
Languages : en
Pages : 557

Book Description


IFAC Symposium ADCHEM '94

IFAC Symposium ADCHEM '94 PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 557

Book Description


Advanced Control of Chemical Processes 1997 (ADCHEM'97)

Advanced Control of Chemical Processes 1997 (ADCHEM'97) PDF Author: Sirish L. Shah
Publisher: Pergamon
ISBN:
Category : Chemical process control
Languages : en
Pages : 736

Book Description
Paperback. Advanced Control of Chemical Processes 1997 was an international event. It attracted a total of 205 participants from industry and academia around the world. Over 100 papers were presented at this symposium, including 3 plenary addresses and 6 keynote talks.The main themes included process monitoring, pulp and paper process control, model predictive control, and modelling and simulation.

Advanced Control of Chemical Processes

Advanced Control of Chemical Processes PDF Author:
Publisher:
ISBN:
Category : Chemical process control
Languages : en
Pages : 572

Book Description


Handbook of Dynamic Data Driven Applications Systems

Handbook of Dynamic Data Driven Applications Systems PDF Author: Frederica Darema
Publisher: Springer Nature
ISBN: 3031279867
Category : Computers
Languages : en
Pages : 937

Book Description
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).

Fault Detection and Diagnosis in Industrial Systems

Fault Detection and Diagnosis in Industrial Systems PDF Author: L.H. Chiang
Publisher: Springer Science & Business Media
ISBN: 1447103475
Category : Technology & Engineering
Languages : en
Pages : 281

Book Description
Early and accurate fault detection and diagnosis for modern chemical plants can minimize downtime, increase the safety of plant operations, and reduce manufacturing costs. This book presents the theoretical background and practical techniques for data-driven process monitoring. It demonstrates the application of all the data-driven process monitoring techniques to the Tennessee Eastman plant simulator, and looks at the strengths and weaknesses of each approach in detail. A plant simulator and problems allow readers to apply process monitoring techniques.