Overview
- Provides valuable insights into the use of test-signal design in system identification
- Helps the reader to make well-informed choices of signal design for process and communications industries
- Discusses software packages for designing common classes of signals
Part of the book series: Advances in Industrial Control (AIC)
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Table of contents (8 chapters)
Keywords
About this book
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 separatetreatments 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 newwork in all aspects of industrial control.
Authors and Affiliations
About the authors
Keith Godfrey is an Emeritus Professor in the School of Engineering at the University of Warwick. He has been involved in many applications of system identification, and in 1990, he received the Doctor of Science degree from the University of Warwick for publications with the collective title "Applications of Modelling, Identification and Parameter Estimation in Engineering and Biomedicine". He is author, or co-author, of more than 200 papers and is a member of the IFAC Technical Committees on Biomedical Engineering and Control, and on Modelling, Identification and Signal Processing. He has been presented with several international awards for his work.
Bibliographic Information
Book Title: Industrial Process Identification
Book Subtitle: Perturbation Signal Design and Applications
Authors: Ai Hui Tan, Keith Richard Godfrey
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-3-030-03661-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-03660-7Published: 12 January 2019
eBook ISBN: 978-3-030-03661-4Published: 01 January 2019
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XXI, 217
Number of Illustrations: 116 b/w illustrations, 14 illustrations in colour
Topics: Control and Systems Theory, Industrial Chemistry/Chemical Engineering, Communications Engineering, Networks, Systems Theory, Control