Generic Model Controller With Adaptive State Estimation For Nonlinear Cstr
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Generic Model Controller With Adaptive State Estimation For Nonlinear Cstr
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Author : Dipesh S. Patle
language : en
Publisher:
Release Date : 2011
Generic Model Controller With Adaptive State Estimation For Nonlinear Cstr written by Dipesh S. Patle and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
A hybrid control scheme consisting of a generic model control (GMC) and a nonlinear adaptive state estimator (ASE) is designed. The ASE estimates the partially known parameters in the presence of process/predictor mismatch, whereas GMC takes care of the nonlinearities and interactions in the nonlinear industrial processes. The developed GMC-ASE controller is implemented in a jacketed continuous stirred-tank reactor (CSTR). The performance of the developed controller is compared with a conventional proportional-integral (PI) controller. It is observed that a GMC-ASE controller shows relatively better performance than the PI controller due to the exponential error convergence capability of the ASE estimator and high quality performance of the GMC controller.
Optimal State Estimation For Process Monitoring Fault Diagnosis And Control
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Author : Ch. Venkateswarlu
language : en
Publisher: Elsevier
Release Date : 2022-01-31
Optimal State Estimation For Process Monitoring Fault Diagnosis And Control written by Ch. Venkateswarlu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-31 with Technology & Engineering categories.
Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control presents various mechanistic model based state estimators and data-driven model based state estimators with a special emphasis on their development and applications to process monitoring, fault diagnosis and control. The design and analysis of different state estimators are highlighted with a number of applications and case studies concerning to various real chemical and biochemical processes. The book starts with the introduction of basic concepts, extending to classical methods and successively leading to advances in this field. Design and implementation of various classical and advanced state estimation methods to solve a wide variety of problems makes this book immensely useful for the audience working in different disciplines in academics, research and industry in areas concerning to process monitoring, fault diagnosis, control and related disciplines. Describes various classical and advanced versions of mechanistic model based state estimation algorithms Describes various data-driven model based state estimation techniques Highlights a number of real applications of mechanistic model based and data-driven model based state estimators/soft sensors Beneficial to those associated with process monitoring, fault diagnosis, online optimization, control and related areas
Algorithms Of Estimation For Nonlinear Systems
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Author : Rafael Martínez-Guerra
language : en
Publisher: Springer
Release Date : 2017-04-04
Algorithms Of Estimation For Nonlinear Systems written by Rafael Martínez-Guerra and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-04 with Science categories.
This book acquaints readers with recent developments in dynamical systems theory and its applications, with a strong focus on the control and estimation of nonlinear systems. Several algorithms are proposed and worked out for a set of model systems, in particular so-called input-affine or bilinear systems, which can serve to approximate a wide class of nonlinear control systems. These can either take the form of state space models or be represented by an input-output equation. The approach taken here further highlights the role of modern mathematical and conceptual tools, including differential algebraic theory, observer design for nonlinear systems and generalized canonical forms.
Coulson And Richardson S Chemical Engineering
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Author : Sohrab Rohani
language : en
Publisher: Butterworth-Heinemann
Release Date : 2017-08-23
Coulson And Richardson S Chemical Engineering written by Sohrab Rohani and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-23 with Technology & Engineering categories.
Coulson and Richardson’s Chemical Engineering: Volume 3B: Process Control, Fourth Edition, covers reactor design, flow modeling, and gas-liquid and gas-solid reactions and reactors. Converted from textbooks into fully revised reference material Content ranges from foundational through to technical Added emerging applications, numerical methods and computational tools
Dynamics And Control Of Chemical Reactors Distillation Columns And Batch Processes Dycord 92
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Author : J.G. Balchen
language : en
Publisher: Elsevier
Release Date : 2014-05-23
Dynamics And Control Of Chemical Reactors Distillation Columns And Batch Processes Dycord 92 written by J.G. Balchen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.
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.
Methods Of Model Based Process Control
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Author : R. Berber
language : en
Publisher: Springer Science & Business Media
Release Date : 1995-05-31
Methods Of Model Based Process Control written by R. Berber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-05-31 with Technology & Engineering categories.
Model based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. The reader of Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to information integration. Specific emerging topics are also covered, such as robust control and nonlinear model predictive control. In addition to critical reviews of recent advances, the reader will find new ideas, industrial applications and views of future needs and challenges. Audience: A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their exploration of the latest trends in the area.
Nonlinear Model Based Process Control
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Author : Rıdvan Berber
language : en
Publisher: Springer Science & Business Media
Release Date : 1998
Nonlinear Model Based Process Control written by Rıdvan Berber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.
The increasingly competitive environment within which modern industry has to work means that processes have to be operated over a wider range of conditions in order to meet constantly changing performance targets. Add to this the fact that many industrial operations are nonlinear, and the need for on-line control algorithms for nonlinear processes becomes clear. Major progress has been booked in constrained model-based control and important issues of nonlinear process control have been solved. This text surveys the state-of-the-art in nonlinear model-based control technology, by writers who have actually created the scientific profile. A broad range of issues are covered in depth, from traditional nonlinear approaches to nonlinear model predictive control, from nonlinear process identification and state estimation to control-integrated design. Advances in the control of inverse response and unstable processes are presented. Comparisons with linear control are given, and case studies are used for illustration.
Nonlinear Model Based Process Control
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Author : R. Berber
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Nonlinear Model Based Process Control written by R. Berber and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.
The ASI on Nonlinear Model Based Process Control (August 10-20, 1997~ Antalya - Turkey) convened as a continuation of a previous ASI which was held in August 1994 in Antalya on Methods of Model Based Process Control in a more general context. In 1994, the contributions and discussions convincingly showed that industrial process control would increasingly rely on nonlinear model based control systems. Therefore, the idea for organizing this ASI was motivated by the success of the first one, the enthusiasm expressed by the scientific community for continuing contact, and the growing incentive for on-line control algorithms for nonlinear processes. This is due to tighter constraints and constantly changing performance objectives that now force the processes to be operated over a wider range of conditions compared to the past, and the fact that many of industrial operations are nonlinear in nature. The ASI intended to review in depth and in a global way the state-of-the-art in nonlinear model based control. The list of lecturers consisted of 12 eminent scientists leading the principal developments in the area, as well as industrial specialists experienced in the application of these techniques. Selected out of a large number of applications, there was a high quality, active audience composed of 59 students from 20 countries. Including family members accompanying the participants, the group formed a large body of92 persons. Out of the 71 participants, 11 were from industry.
Nonlinear Control Systems 2004
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Author : Frank Allgower
language : en
Publisher: Elsevier
Release Date : 2005-02-02
Nonlinear Control Systems 2004 written by Frank Allgower and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-02-02 with Science categories.
Nonlinear Process Control
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Author : Michael A. Henson
language : en
Publisher: Prentice Hall
Release Date : 1997
Nonlinear Process Control written by Michael A. Henson and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Science categories.
Nonlinear Process Control assembles the latest theoretical and practical research on design, analysis and application of nonlinear process control strategies. It presents detailed coverage of all three major elements of nonlinear process control: identification, controller design, and state estimation. Nonlinear Process Control reflects the contributions of eleven leading researchers in the field. It is an ideal textbook for graduate courses in process control, as well as a concise, up-to-date reference for control engineers.