Identification of Multivariable Industrial Processes: for Simulation, Diagnosis and Control [Paperback]

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.1 Introduction.- 1.1 Some Preliminary Concepts.- 1.2 Digital Control of Industrial Processes.- 1.3 Outline of the Book.- 2 Linear Models of Dynamic Processes and Signals.- 2.1 SISO Continuous-Time Models.- 2.2 SISO Discrete-Time Models.- 2.3 MIMO Models.- 2.4 Models of Signals.- 2.5 Linear Processes with Disturbances; Conclusion.- 3 Identification Experiments and Data Pre-treatmet.- 3.1 Selection of Inputs/Outputs and Preliminary Experiments.- 3.2 Experiment for Model Estimation.- 3.3 Pre-treatment of Data.- 3.4 Conclusions.- 4 Identification by the Least-Squares Method.- 4.1 The Principle of Least-Squares.- 4.2 Estimating Models of Linear Processes.- 4.3 Two Industrial Case Studies.- 4.4 Properties of the Least-Squares Estimator.- 4.5 Conclusions.- 5 Extensions of the Least-Squares Method.- 5.1 Modifying the Frequency Weighting by Prefiltering.- 5.2 A Natural Choice of Criterion  Output Error Method.- 5.3 Using Correlation Techniques  Instrumental Variable (IV) Methods.- 5.4 Obtaining White Residuals  Prediction Error Methods.- 5.5 Identifying the Glass Tube Process Using a Prediction Error Method.- 5.6 Conclusions and Discussion.- 6 MIMO Process Identification: A Markov Parameter Approach.- 6.1 Rationale of the Method.- 6.2 The Identification Procedure.- 6.3lS4