Identification of Multivariable Industrial Processes

This treatise presents a unified approach to multivariable industrial process identification. It concentrates specifically on industrial processes with reference to model applications. Areas discussed include experimental design, model structure selection and parameter estimation.

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This monograph 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 and 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.