Process Control And Identification


Process Control And Identification
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Process Control And Identification


Process Control And Identification
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Author : W. Fred Ramirez
language : en
Publisher:
Release Date : 1994

Process Control And Identification written by W. Fred Ramirez and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Mathematics categories.


Basic systems concepts. Steady state optimization. Dynamic optimization. Optimal control. The linear quadratic regulator (LQR) problem. Model predictive control. Robust control. Problems linear in the control variables. The discrete maximum principle. State and parameter identification. Sequential least squares parameter estimation. The linear quadratic Gaussian (LQG) problem.



Multivariable System Identification For Process Control


Multivariable System Identification For Process Control
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Author : Y. Zhu
language : en
Publisher: Elsevier
Release Date : 2001-10-08

Multivariable System Identification For Process Control written by Y. Zhu and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-08 with Technology & Engineering categories.


Systems and control theory has experienced significant development in the past few decades. New techniques have emerged which hold enormous potential for industrial applications, and which have therefore also attracted much interest from academic researchers. However, the impact of these developments on the process industries has been limited.The purpose of Multivariable System Identification for Process Control is to bridge the gap between theory and application, and to provide industrial solutions, based on sound scientific theory, to process identification problems. The book is organized in a reader-friendly way, starting with the simplest methods, and then gradually introducing more complex techniques. Thus, the reader is offered clear physical insight without recourse to large amounts of mathematics. Each method is covered in a single chapter or section, and experimental design is explained before any identification algorithms are discussed. The many simulation examples and industrial case studies demonstrate the power and efficiency of process identification, helping to make the theory more applicable. MatlabTM M-files, designed to help the reader to learn identification in a computing environment, are included.



Process Modelling Identification And Control


Process Modelling Identification And Control
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Author : Ján Mikleš
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-30

Process Modelling Identification And Control written by Ján Mikleš 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 2007-06-30 with Technology & Engineering categories.


This compact and original reference and textbook presents the most important classical and modern essentials of control engineering in a single volume. It constitutes a harmonic mixture of control theory and applications, which makes the book especially useful for students, practicing engineers and researchers interested in modeling and control of processes. Well written and easily understandable, it includes a range of methods for the analysis and design of control systems.



Industrial Process Identification And Control Design


Industrial Process Identification And Control Design
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Author : Tao Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-16

Industrial Process Identification And Control Design written by Tao Liu 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 2011-11-16 with Technology & Engineering categories.


Industrial Process Identification and Control Design is devoted to advanced identification and control methods for the operation of continuous-time processes both with and without time delay, in industrial and chemical engineering practice. The simple and practical step- or relay-feedback test is employed when applying the proposed identification techniques, which are classified in terms of common industrial process type: open-loop stable; integrating; and unstable, respectively. Correspondingly, control system design and tuning models that follow are presented for single-input-single-output processes. Furthermore, new two-degree-of-freedom control strategies and cascade control system design methods are explored with reference to independently-improving, set-point tracking and load disturbance rejection. Decoupling, multi-loop, and decentralized control techniques for the operation of multiple-input-multiple-output processes are also detailed. Perfect tracking of a desire output trajectory is realized using iterative learning control in uncertain industrial batch processes. All the proposed methods are presented in an easy-to-follow style, illustrated by examples and practical applications. This book will be valuable for researchers in system identification and control theory, and will also be of interest to graduate control students from process, chemical, and electrical engineering backgrounds and to practising control engineers in the process industry.



From Plant Data To Process Control


From Plant Data To Process Control
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Author : Liuping Wang
language : en
Publisher:
Release Date : 2000

From Plant Data To Process Control written by Liuping Wang and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with categories.




From Plant Data To Process Control


From Plant Data To Process Control
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Author : Liuping Wang
language : en
Publisher: CRC Press
Release Date : 2000-08-31

From Plant Data To Process Control written by Liuping Wang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-31 with Computers categories.


Process engineering spans industrial applications in the manufacturing sector from petrochemical to polymer to mineral production. From Plant Data to Process Control covers the most up-to-date techniques and algorithms in the area of process identification (PID) and process control, two key components of process engineering, essential for optimizing production systems. It examines both the theoretical advances in process design and control theory, and a wide variety of implementations. A wide variety of approaches are presented for building models of dynamical systems based on observed data (process identification) and for making the output of a system behave in a desired fashion by properly selecting the process input (process control).



Advanced Process Identification And Control


Advanced Process Identification And Control
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Author : Enso Ikonen
language : en
Publisher: CRC Press
Release Date : 2001-10-02

Advanced Process Identification And Control written by Enso Ikonen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-02 with Science categories.


A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable systems.



Process Identification And Pid Control


Process Identification And Pid Control
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Author : Su Whan Sung
language : en
Publisher: John Wiley & Sons
Release Date : 2009-07-23

Process Identification And Pid Control written by Su Whan Sung and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-07-23 with Science categories.


Process Identification and PID Control enables students and researchers to understand the basic concepts of feedback control, process identification, autotuning as well as design and implement feedback controllers, especially, PID controllers. The first The first two parts introduce the basics of process control and dynamics, analysis tools (Bode plot, Nyquist plot) to characterize the dynamics of the process, PID controllers and tuning, advanced control strategies which have been widely used in industry. Also, simple simulation techniques required for practical controller designs and research on process identification and autotuning are also included. Part 3 provides useful process identification methods in real industry. It includes several important identification algorithms to obtain frequency models or continuous-time/discrete-time transfer function models from the measured process input and output data sets. Part 4 introduces various relay feedback methods to activate the process effectively for process identification and controller autotuning. Combines the basics with recent research, helping novice to understand advanced topics Brings several industrially important topics together: Dynamics Process identification Controller tuning methods Written by a team of recognized experts in the area Includes all source codes and real-time simulated processes for self-practice Contains problems at the end of every chapter PowerPoint files with lecture notes available for instructor use



Advanced Practical Process Control


Advanced Practical Process Control
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Author : Brian Roffel
language : en
Publisher: Springer Science & Business Media
Release Date : 2004

Advanced Practical Process Control written by Brian Roffel 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 2004 with Computers categories.


This text and reference offers an application-oriented approach to process control. It systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach.



Advanced Process Identification And Control


Advanced Process Identification And Control
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Author : Enso Ikonen
language : en
Publisher: CRC Press
Release Date : 2001-10-02

Advanced Process Identification And Control written by Enso Ikonen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-10-02 with Science categories.


A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable