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" Industrial process identification : "
Ai Hui Tan ; Keith Richard Godfrey.
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BL
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| Record Number
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860123
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| Main Entry
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Tan, Ai Hui.
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| Title & Author
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Industrial process identification : : perturbation signal design and applications /\ Ai Hui Tan ; Keith Richard Godfrey.
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| Publication Statement
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Cham :: Springer,, 2019.
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| Series Statement
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Advances in Industrial Control,
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| Page. NO
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1 online resource (xxi, 217 pages)
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| ISBN
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3030036618
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: 3030036626
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: 9783030036614
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: 9783030036621
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303003660X
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9783030036607
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| Bibliographies/Indexes
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Includes bibliographical references and index.
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| Contents
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Introduction -- Design of Pseudo-Random Signals for Linear System Identification -- Design of Computer-Optimized Signals for Linear System Identification -- Signal Design for Multi-input System Identification -- Signal Design for the Identification of Nonlinear and Time-Varying Systems -- Case Study on the Identification of Direction-Dependent Electronic Nose System -- Case Study on the Identification of a Multivariable Cooling System with Time-Varying Delay -- Software for Signal Design.
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| Abstract
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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.
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Automatic control.
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Chemical engineering.
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System theory.
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Telecommunication.
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Automatic control.
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Chemical engineering.
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System theory.
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Telecommunication.
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| Dewey Classification
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629.8
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| LC Classification
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TJ213
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| Added Entry
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Godfrey, Keith Richard.
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