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" Identification of Multivariable Industrial Processes "
by Yucai Zhu, Ton Backx.
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BL
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621507
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dltt
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| Main Entry
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Zhu, Yucai.
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| Title & Author
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Identification of Multivariable Industrial Processes : for Simulation, Diagnosis and Control /\ by Yucai Zhu, Ton Backx.
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| Publication Statement
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London :: Springer London,, 1993.
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| Series Statement
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Advances in Industrial Control,
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| ISBN
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9781447120582
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: 9781447120605
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| Contents
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Contents: Introduction -- Linear Models of Dynamic Processes and Signals -- Identification Experiments and Data Pre-Treatment -- Identification by the Least-Squares Method -- Extensions of the Least-Squares Method -- MIMO Process Identification: A Markov Parameter Approach -- Identification for Robust Control; SISO Case -- Identification for Robust Control; MIMO Case -- Identification and Robust Control of the Glass Tube Process -- Identification for Fault Diagnosis; Estimation of Continuous-Time Models.
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| Abstract
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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.
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Engineering.
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Computer hardware.
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Software engineering.
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Machinery.
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Business planning.
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Backx, Ton.
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SpringerLink (Online service)
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