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Author: K. Najim Publisher: Elsevier ISBN: 1483298973 Category : Technology & Engineering Languages : en Pages : 313
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.
Author: K. Najim Publisher: Elsevier ISBN: 1483298973 Category : Technology & Engineering Languages : en Pages : 313
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.
Author: J.G. Balchen Publisher: Elsevier ISBN: 1483298779 Category : Technology & Engineering Languages : en Pages : 387
Book Description
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.
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.
Author: Cenk Undey Publisher: CRC Press ISBN: 1439829462 Category : Medical Languages : en Pages : 327
Book Description
As with all of pharmaceutical production, the regulatory environment for the production of therapeutics has been changing as a direct result of the US FDA-initiated Quality by Design (QbD) guidelines and corresponding activities of the International Committee for Harmonization (ICH). Given the rapid growth in the biopharmaceutical area and the comp
Author: E. Zafiriou Publisher: Elsevier ISBN: 1483296954 Category : Technology & Engineering Languages : en Pages : 260
Book Description
The existence of interactions between the design of a process and that of its control system have been known to industrial practitioners for a long time. In the past decade academic research has produced methodologies and tools that begin to address the issue of designing processes that are flexible, can be controlled reliably, and are inherently safe. This publication unites the work of academics and practitioners with interests in the integration of process design and control, in order to examine the state of the art in methodologies and applications. The scope covers the design of chemical plants at different stages of detail. It also examines control issues from the plantwide level, where, for example, recycles between units can be important, to the specific unit level, where the availability or selection of measurements might be the most important factor.
Author: K. Najim
Author: K. Najim
Author: K. Najim
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Author: 
Author: J.G. Balchen
Author: D. Bonvin
Author: Cenk Undey
Author: E. Zafiriou
Author: 
Author: