Advanced Process Identification and Control
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Summary
A presentation of techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable systems.
Table of Contents
Identification: introduction to identification; linear regression; linear dynamic systems; non-linear systems; non-linear dynamic structures; estimation of parameters. Control: predictive control; multivariable systems; time-varying and non-linear systems. Appendices: state space representation; fluidized bed combustion.
Editorial Reviews
"The book is well written and offers a highly readable account of the advanced identification and control theory. [It] offers a straightforward and accessible introduction … and can be highly recommended as the main textbook for both undergraduate and postgraduate courses on the subject. In addition, the text can also be recommended to practicing control engineers for its application-oriented style … ."
- Chemical Engineering Research and Design, 82(A4)
