Industrial Process Identification

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Industrial Process Identification and Control Design

Author : Tao Liu,Furong Gao
Publisher : Springer
Page : 474 pages
File Size : 52,6 Mb
Release : 2011-11-19
Category : Technology & Engineering
ISBN : 0857299786

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Industrial Process Identification and Control Design by Tao Liu,Furong Gao Pdf

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.

Industrial Process Identification

Author : Ai Hui Tan,Keith Richard Godfrey
Publisher : Springer
Page : 217 pages
File Size : 49,7 Mb
Release : 2019-01-01
Category : Technology & Engineering
ISBN : 9783030036614

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Industrial Process Identification by Ai Hui Tan,Keith Richard Godfrey Pdf

Industrial Process Identification brings together the latest advances in perturbation signal design. It describes the approaches to the design process that are relevant to industries. The authors’ discussion of several software packages (Frequency Domain System Identification Toolbox, prs, GALOIS, multilev_new, and Input-Signal-Creator) will allow readers to understand the different designs in industries and begin designing common classes of signals. The authors include two case studies that provide a balance between the theory and practice of these designs: the identification of a direction-dependent electronic nose system; and the identification of a multivariable cooling system with time-varying delay. Major aspects of signal design such as the formulation of suitable specifications in the face of practical constraints, the classes of designs available, the various objectives necessitating separate treatments when dealing with nonlinear systems, and extension to multi-input scenarios, are discussed. Codes, including some that will produce simulated data, are included to help readers replicate the results described. Industrial Process Identification is a powerful source of information for control engineers working in the process and communications industries seeking guidance on choosing identification software tools for use in practical experiments and case studies. The book will also be of interest to academic researchers and students working in electrical, mechanical and communications engineering and the application of perturbation signal design. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

Industrial Process Identification and Control Design

Author : Tao Liu,Furong Gao
Publisher : Springer Science & Business Media
Page : 474 pages
File Size : 40,5 Mb
Release : 2011-11-16
Category : Technology & Engineering
ISBN : 0857299778

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Industrial Process Identification and Control Design by Tao Liu,Furong Gao Pdf

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.

Identification of Multivariable Industrial Processes

Author : Yucai Zhu,Ton Backx
Publisher : Springer Science & Business Media
Page : 200 pages
File Size : 49,9 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9781447120582

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Identification of Multivariable Industrial Processes by Yucai Zhu,Ton Backx Pdf

Identification of Multivariable Industrial Processes presents a unified approach to multivariable industrial process identification. It concentrates on industrial processes with reference to model applications. The areas covered are experiment design, model structure selection, parameter estimation as well as error bounds of the transfer function. This publication is intended to fill the gap between modern systems and control theory and industrial application. It is based on the results of 10 years of research and application experiences. The theories and models discussed are fully explained and illustrated with case studies. At an early stage the reader is introduced to real applications.

Practical Grey-box Process Identification

Author : Torsten P. Bohlin
Publisher : Springer Science & Business Media
Page : 351 pages
File Size : 51,6 Mb
Release : 2006-09-07
Category : Technology & Engineering
ISBN : 9781846284038

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Practical Grey-box Process Identification by Torsten P. Bohlin Pdf

This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries. In addition, the book answers common questions which will help in building accurate models for systems with unknown inputs.

Multivariable System Identification For Process Control

Author : Y. Zhu
Publisher : Elsevier
Page : 372 pages
File Size : 45,8 Mb
Release : 2001-10-08
Category : Technology & Engineering
ISBN : 9780080537115

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Multivariable System Identification For Process Control by Y. Zhu Pdf

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.

Identification of Industrial Process Dynamics

Author : Ivar Gustavsson
Publisher : Unknown
Page : 14 pages
File Size : 47,5 Mb
Release : 1974
Category : Electronic
ISBN : OCLC:186571687

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Identification of Industrial Process Dynamics by Ivar Gustavsson Pdf

Capturing Connectivity and Causality in Complex Industrial Processes

Author : Fan Yang,Ping Duan,Sirish L. Shah,Tongwen Chen
Publisher : Springer Science & Business Media
Page : 91 pages
File Size : 52,8 Mb
Release : 2014-04-01
Category : Technology & Engineering
ISBN : 9783319053806

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Capturing Connectivity and Causality in Complex Industrial Processes by Fan Yang,Ping Duan,Sirish L. Shah,Tongwen Chen Pdf

This brief reviews concepts of inter-relationship in modern industrial processes, biological and social systems. Specifically ideas of connectivity and causality within and between elements of a complex system are treated; these ideas are of great importance in analysing and influencing mechanisms, structural properties and their dynamic behaviour, especially for fault diagnosis and hazard analysis. Fault detection and isolation for industrial processes being concerned with root causes and fault propagation, the brief shows that, process connectivity and causality information can be captured in two ways: · from process knowledge: structural modeling based on first-principles structural models can be merged with adjacency/reachability matrices or topology models obtained from process flow-sheets described in standard formats; and · from process data: cross-correlation analysis, Granger causality and its extensions, frequency domain methods, information-theoretical methods, and Bayesian networks can be used to identify pair-wise relationships and network topology. These methods rely on the notion of information fusion whereby process operating data is combined with qualitative process knowledge, to give a holistic picture of the system.

From Plant Data to Process Control

Author : Liuping Wang
Publisher : CRC Press
Page : 250 pages
File Size : 55,8 Mb
Release : 2000-08-31
Category : Computers
ISBN : 0748407014

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From Plant Data to Process Control by Liuping Wang Pdf

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).

Identification and Classical Control of Linear Multivariable Systems

Author : V. Dhanya Ram,M. Chidambaram
Publisher : Cambridge University Press
Page : 417 pages
File Size : 46,5 Mb
Release : 2022-10-31
Category : Technology & Engineering
ISBN : 9781316517215

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Identification and Classical Control of Linear Multivariable Systems by V. Dhanya Ram,M. Chidambaram Pdf

This book trains engineering students to identify multivariable transfer function models and design classical controllers for such systems.

Advanced Process Identification and Control

Author : Enso Ikonen,Kaddour Najim
Publisher : CRC Press
Page : 328 pages
File Size : 52,9 Mb
Release : 2001-10-02
Category : Science
ISBN : 9781482294699

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Advanced Process Identification and Control by Enso Ikonen,Kaddour Najim Pdf

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

Practical Grey-box Process Identification

Author : Torsten P. Bohlin
Publisher : Springer
Page : 351 pages
File Size : 41,7 Mb
Release : 2009-10-12
Category : Technology & Engineering
ISBN : 1848005148

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Practical Grey-box Process Identification by Torsten P. Bohlin Pdf

This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries. In addition, the book answers common questions which will help in building accurate models for systems with unknown inputs.

Advanced Process Identification and Control

Author : Enso Ikonen,Kaddour Najim
Publisher : CRC Press
Page : 336 pages
File Size : 43,8 Mb
Release : 2001-10-02
Category : Science
ISBN : 082470648X

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Advanced Process Identification and Control by Enso Ikonen,Kaddour Najim Pdf

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.

Identification of Continuous-time Models from Sampled Data

Author : Hugues Garnier,Liuping Wang
Publisher : Springer Science & Business Media
Page : 413 pages
File Size : 51,9 Mb
Release : 2008-03-13
Category : Technology & Engineering
ISBN : 9781848001619

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Identification of Continuous-time Models from Sampled Data by Hugues Garnier,Liuping Wang Pdf

This is the first book dedicated to direct continuous-time model identification for 15 years. It cuts down on time spent hunting through journals by providing an overview of much recent research in an increasingly busy field. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB® can be used for direct time-domain identification of continuous-time systems. This is a valuable reference for a broad audience.