Identification Of Multivariable Industrial Processes

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Identification of Multivariable Industrial Processes

Author : Yucai Zhu
Publisher : Springer Science & Business Media
ISBN 13 : 1447120582
Total Pages : 200 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Identification of Multivariable Industrial Processes by : Yucai Zhu

Download or read book Identification of Multivariable Industrial Processes written by Yucai Zhu and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multivariable System Identification For Process Control

Author : Y. Zhu
Publisher : Elsevier
ISBN 13 : 0080537111
Total Pages : 373 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Multivariable System Identification For Process Control by : Y. Zhu

Download or read book Multivariable System Identification For Process Control written by Y. Zhu and published by Elsevier. This book was released on 2001-10-08 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Industrial Process Identification and Control Design

Author : Tao Liu
Publisher : Springer Science & Business Media
ISBN 13 : 0857299778
Total Pages : 487 pages
Book Rating : 4.8/5 (572 download)

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Book Synopsis Industrial Process Identification and Control Design by : Tao Liu

Download or read book Industrial Process Identification and Control Design written by Tao Liu and published by Springer Science & Business Media. This book was released on 2011-11-16 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 for Simulation, Diagnosis, and Control

Author : Yucai Zhu
Publisher :
ISBN 13 : 9780387198354
Total Pages : 0 pages
Book Rating : 4.1/5 (983 download)

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Book Synopsis Identification of Multivariable Industrial Processes for Simulation, Diagnosis, and Control by : Yucai Zhu

Download or read book Identification of Multivariable Industrial Processes for Simulation, Diagnosis, and Control written by Yucai Zhu and published by . This book was released on 1993 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Industrial Process Identification

Author : Ai Hui Tan
Publisher : Springer
ISBN 13 : 3030036618
Total Pages : 232 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Industrial Process Identification by : Ai Hui Tan

Download or read book Industrial Process Identification written by Ai Hui Tan and published by Springer. This book was released on 2019-01-01 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Identification of Multivariable Industrial Processes

Author : Yucai Zhu
Publisher :
ISBN 13 : 9781447120599
Total Pages : 204 pages
Book Rating : 4.1/5 (25 download)

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Book Synopsis Identification of Multivariable Industrial Processes by : Yucai Zhu

Download or read book Identification of Multivariable Industrial Processes written by Yucai Zhu and published by . This book was released on 1993-05-28 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Control Configuration Selection for Multivariable Plants

Author : A. Khaki-Sedigh
Publisher : Springer Science & Business Media
ISBN 13 : 3642031927
Total Pages : 242 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Control Configuration Selection for Multivariable Plants by : A. Khaki-Sedigh

Download or read book Control Configuration Selection for Multivariable Plants written by A. Khaki-Sedigh and published by Springer Science & Business Media. This book was released on 2009-09-23 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Control of multivariable industrial plants and processes has been a challenging and fascinating task for researchers in this field. The analysis and design methodologies for multivariable plants can be categorized as centralized and decentralized design strategies. Despite the remarkable theoretical achievements in centralized multiva- able control, decentralized control is still widely used in many industrial plants. This trend in the beginning of the third millennium is still there and it will be with us for the foreseeable future. This is mainly because of the easy implementation, main- nance, tuning, and robust behavior in the face of fault and model uncertainties, which is reported with the vast number of running decentralized controllers in the industry. The main steps involved in employing decentralized controllers can be summarized as follows: • Control objectives formulation and plant modeling. • Control structure selection. • Controller design. • Simulation or pilot plant experiments and Implementation. Nearly all the textbooks on multivariable control theory deal only with the control system analysis and design. The important concept of control structure selection which is a key prerequisite for a successful industrial control strategy is almost unnoticed. Structure selection involves the following two main steps: • Inputs and outputs selection. • Control configuration selection or the input-output pairing problem. This book focuses on control configuration selection or the input-output pairing problem, which is defined as the procedure of selecting the appropriate input and output pair for the design of SISO (or block) controllers.

Multivariable Control Systems

Author : P. Albertos Pérez
Publisher : Springer Science & Business Media
ISBN 13 : 1852337389
Total Pages : 357 pages
Book Rating : 4.8/5 (523 download)

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Book Synopsis Multivariable Control Systems by : P. Albertos Pérez

Download or read book Multivariable Control Systems written by P. Albertos Pérez and published by Springer Science & Business Media. This book was released on 2004 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariable Control Systems focuses on control design with continual references to the practical aspects of implementation. While the concepts of multivariable control are justified, the book emphasises the need to maintain student interest and motivation over exhaustive mathematical proof. Tools of analysis and representation are always developed as methods for achieving a final control system design and evaluation. Features: • design implementation laid out using extensive reference to MATLAB®; • combined consideration of systems (plant) and signals (mainly disturbances); • step-by-step approach from the objectives of multivariable control to the solution of complete design problems. Multivariable Control Systems is an ideal text for graduate students or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems.

System Identification (SYSID '03)

Author : Paul Van Den Hof
Publisher : Elsevier
ISBN 13 : 9780080437095
Total Pages : 2080 pages
Book Rating : 4.4/5 (37 download)

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Book Synopsis System Identification (SYSID '03) by : Paul Van Den Hof

Download or read book System Identification (SYSID '03) written by Paul Van Den Hof and published by Elsevier. This book was released on 2004-06-29 with total page 2080 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scope of the symposium covers all major aspects of system identification, experimental modelling, signal processing and adaptive control, ranging from theoretical, methodological and scientific developments to a large variety of (engineering) application areas. It is the intention of the organizers to promote SYSID 2003 as a meeting place where scientists and engineers from several research communities can meet to discuss issues related to these areas. Relevant topics for the symposium program include: Identification of linear and multivariable systems, identification of nonlinear systems, including neural networks, identification of hybrid and distributed systems, Identification for control, experimental modelling in process control, vibration and modal analysis, model validation, monitoring and fault detection, signal processing and communication, parameter estimation and inverse modelling, statistical analysis and uncertainty bounding, adaptive control and data-based controller tuning, learning, data mining and Bayesian approaches, sequential Monte Carlo methods, including particle filtering, applications in process control systems, motion control systems, robotics, aerospace systems, bioengineering and medical systems, physical measurement systems, automotive systems, econometrics, transportation and communication systems *Provides the latest research on System Identification *Contains contributions written by experts in the field *Part of the IFAC Proceedings Series which provides a comprehensive overview of the major topics in control engineering.

Advanced Process Identification and Control

Author : Enso Ikonen
Publisher : CRC Press
ISBN 13 : 9780824706487
Total Pages : 336 pages
Book Rating : 4.7/5 (64 download)

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Book Synopsis Advanced Process Identification and Control by : Enso Ikonen

Download or read book Advanced Process Identification and Control written by Enso Ikonen and published by CRC Press. This book was released on 2001-10-02 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 and System Parameter Estimation 1982

Author : G. A. Bekey
Publisher : Elsevier
ISBN 13 : 1483165787
Total Pages : 869 pages
Book Rating : 4.4/5 (831 download)

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Book Synopsis Identification and System Parameter Estimation 1982 by : G. A. Bekey

Download or read book Identification and System Parameter Estimation 1982 written by G. A. Bekey and published by Elsevier. This book was released on 2016-06-06 with total page 869 pages. Available in PDF, EPUB and Kindle. Book excerpt: Identification and System Parameter Estimation 1982 covers the proceedings of the Sixth International Federation of Automatic Control (IFAC) Symposium. The book also serves as a tribute to Dr. Naum S. Rajbman. The text covers issues concerning identification and estimation, such as increasing interrelationships between identification/estimation and other aspects of system theory, including control theory, signal processing, experimental design, numerical mathematics, pattern recognition, and information theory. The book also provides coverage regarding the application and problems faced by several engineering and scientific fields that use identification and estimation, such as biological systems, traffic control, geophysics, aeronautics, robotics, economics, and power systems. Researchers from all scientific fields will find this book a great reference material, since it presents topics that concern various disciplines.

Supervision and Control for Industrial Processes

Author : Bjorn Sohlberg
Publisher : Springer Science & Business Media
ISBN 13 : 1447115589
Total Pages : 247 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Supervision and Control for Industrial Processes by : Bjorn Sohlberg

Download or read book Supervision and Control for Industrial Processes written by Bjorn Sohlberg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The steel industry world-wide is highly competitive and there is significant research in progress to ensure competitive success prevails in the various companies. From an engineering viewpoint, this means the use of increasingly sophisticated techniques and state-of-the-art theory to optimise process throughput and deliver ever more exacting dimensional and material property specifications. Dr. Bjöm Sohlberg's monograph demonstrates this interplay between fundamental control engineering science and the demands of a particular applications project in the steel strip production business. It is an excellent piece of work which clearly shows how these industrial engineering challenges can be formulated and solved.

Process Control

Author : Jean-Pierre Corriou
Publisher : Springer
ISBN 13 : 3319611437
Total Pages : 867 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Process Control by : Jean-Pierre Corriou

Download or read book Process Control written by Jean-Pierre Corriou and published by Springer. This book was released on 2017-08-17 with total page 867 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference book can be read at different levels, making it a powerful source of information. It presents most of the aspects of control that can help anyone to have a synthetic view of control theory and possible applications, especially concerning process engineering.

Multivariable Feedback Control

Author : Sigurd Skogestad
Publisher : John Wiley & Sons
ISBN 13 : 047001167X
Total Pages : 594 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Multivariable Feedback Control by : Sigurd Skogestad

Download or read book Multivariable Feedback Control written by Sigurd Skogestad and published by John Wiley & Sons. This book was released on 2005-11-04 with total page 594 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multivariable Feedback Control: Analysis and Design, Second Edition presents a rigorous, yet easily readable, introduction to the analysis and design of robust multivariable control systems. Focusing on practical feedback control and not on system theory in general, this book provides the reader with insights into the opportunities and limitations of feedback control. Taking into account the latest developments in the field, this fully revised and updated second edition: * features a new chapter devoted to the use of linear matrix inequalities (LMIs); * presents current results on fundamental performance limitations introduced by RHP-poles and RHP-zeros; * introduces updated material on the selection of controlled variables and self-optimizing control; * provides simple IMC tuning rules for PID control; * covers additional material including unstable plants, the feedback amplifier, the lower gain margin and a clear strategy for incorporating integral action into LQG control; * includes numerous worked examples, exercises and case studies, which make frequent use of Matlab and the new Robust Control toolbox. Multivariable Feedback Control: Analysis and Design, Second Edition is an excellent resource for advanced undergraduate and graduate courses studying multivariable control. It is also an invaluable tool for engineers who want to understand multivariable control, its limitations, and how it can be applied in practice. The analysis techniques and the material on control structure design should prove very useful in the new emerging area of systems biology. Reviews of the first edition: "Being rich in insights and practical tips on controller design, the book should also prove to be very beneficial to industrial control engineers, both as a reference book and as an educational tool." Applied Mechanics Reviews "In summary, this book can be strongly recommended not only as a basic text in multivariable control techniques for graduate and undergraduate students, but also as a valuable source of information for control engineers." International Journal of Adaptive Control and Signal Processing

Model Predictive Control in the Process Industry

Author : Eduardo F. Camacho
Publisher : Springer Science & Business Media
ISBN 13 : 1447130081
Total Pages : 250 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Model Predictive Control in the Process Industry by : Eduardo F. Camacho

Download or read book Model Predictive Control in the Process Industry written by Eduardo F. Camacho and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.

Trends and Progress in System Identification

Author : Pieter Eykhoff
Publisher : Elsevier
ISBN 13 : 1483148661
Total Pages : 419 pages
Book Rating : 4.4/5 (831 download)

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Book Synopsis Trends and Progress in System Identification by : Pieter Eykhoff

Download or read book Trends and Progress in System Identification written by Pieter Eykhoff and published by Elsevier. This book was released on 2014-05-20 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Trends and Progress in System Identification is a three-part book that focuses on model considerations, identification methods, and experimental conditions involved in system identification. Organized into 10 chapters, this book begins with a discussion of model method in system identification, citing four examples differing on the nature of the models involved, the nature of the fields, and their goals. Subsequent chapters describe the most important aspects of model theory; the ""classical"" methods and time series estimation; application of least squares and related techniques for the estimation of dynamic system parameters; the maximum likelihood and error prediction methods; and the modern development of statistical methods. Non-parametric approaches, identification of nonlinear systems by piecewise approximation, and the minimax identification are then explained. Other chapters explore the Bayesian approach to system identification; choice of input signals; and choice and effect of different feedback configurations in system identification. This book will be useful for control engineers, system scientists, biologists, and members of other disciplines dealing withdynamical relations.

PID Control

Author : Michael A Johnson
Publisher : Springer Science & Business Media
ISBN 13 : 1846281482
Total Pages : 559 pages
Book Rating : 4.8/5 (462 download)

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Book Synopsis PID Control by : Michael A Johnson

Download or read book PID Control written by Michael A Johnson and published by Springer Science & Business Media. This book was released on 2005-12-28 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: The effectiveness of proportional-integral-derivative (PID) controllers for a large class of process systems has ensured their continued and widespread use in industry. Similarly there has been a continued interest from academia in devising new ways of approaching the PID tuning problem. To the industrial engineer and many control academics this work has previously appeared fragmented; but a key determinant of this literature is the type of process model information used in the PID tuning methods. PID Control presents a set of coordinated contributions illustrating methods, old and new, that cover the range of process model assumptions systematically. After a review of PID technology, these contributions begin with model-free methods, progress through non-parametric model methods (relay experiment and phase-locked-loop procedures), visit fuzzy-logic- and genetic-algorithm-based methods; introduce a novel subspace identification method before closing with an interesting set of parametric model techniques including a chapter on predictive PID controllers. Highlights of PID Control include: an introduction to PID control technology features and typical industrial implementations; chapter contributions ordered by the increasing quality of the model information used; novel PID control concepts for multivariable processes. PID Control will be useful to industry-based engineers wanting a better understanding of what is involved in the steps to a new generation of PID controller techniques. Academics wishing to have a broader perspective of PID control research and development will find useful pedagogical material and research ideas in this text.