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Advanced Process Identification and Control
First Indian Reprint 2015 ,
324 p, Soft Cover,
Taylor & Francis
Rs. 1295 /- For Sale in South Asia Only
About The Book
Table Of Contents
About The Author
This state-of- art reference/text presents the most recent techniques in advanced process modelling, identification, prediction, and parameter estimation for the implementation and analysis of industrial systems - providing current applications for the identification for the identification of linear and non-linear systems, the design of generalized predictive controllers (GPCs), and the control of multivariable systems. Exploring fixed parameter and adaptive strategies as well as unconstrained and constrained identification and control processes. Advanced Process Identification and Control discusses the design of power series, neural networks, and fuzzy systems...the Wiener and Hammerstein systems...the design of the multivariable GPC based on state-space representation...selection of the most efficient input-output paring for the design of effective distributed controllers... decoupling at high and low frequencies...fluidized bed combustion, binary distillation columns, two-tank systems, pH neutralization, fermentors, and tubular chemical reactors... and more.
I . Identification 1. Introduction to Identification 2. Linear Regression 3. Linear Dynamic Systems 4. Non-Linear Systems 5. Non-Linear Dynamic Structure 6. Estimation of Parameters. II. Control 7. Predictive Control 8. Multivariable Systems 9. Time-varying and Non-linear Systems III. Appendices A. State-Space Representation B. Fluidized Bed Combustion Bibliography Index.
Students of Electrical, Electronics and Communication Engineering.
Electrical, Electronics and Communication Engineering.
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