Process Modelling, Identification, and Control / Edition 1

by Ján Mikles, Miroslav Fikar

Overview

Control and automation in its broadest sense plays a fundamental role in process industries. Control assures stability of technologies, disturbance - tenuation, safety of equipment and environment as well as optimal process operation from economic point of view. This book intends to present modern automatic control methods and their applications in process control in process industries. The processes studied mainly involve mass and heat transfer processes and chemical reactors. It is assumed that the reader has already a basic knowledge about c- trolled processes and about differential and integral calculus as well as about matrixalgebra.Automaticcontrolproblemsinvolvemathematicsmorethanit is usual in other engineering disciplines. The book treats problems in a similar way as it is in mathematics. The problem is formulated at first, then the t- orem is stated. Only necessary conditions are usually proved and su?ciency is left aside as it follows from the physical nature of the problem solved. This helps to follow the engineering character of problems. The intended audience of this book includes graduate students but can also be of interest to practising engineers or applied scientists.

Product Details

ISBN-13:	9783540719694
Publisher:	Springer Berlin Heidelberg
Publication date:	09/14/2007
Edition description:	2007
Pages:	480
Product dimensions:	6.10(w) x 9.25(h) x 0.05(d)

Table of Contents

Mathematical Modelling of Processes.- Analysis of Process Models.- Dynamical Behaviour of Processes.- Discrete-Time Process Models.- Process Identification.- The Control Problem and Design of Simple Controllers.- Optimal Process Control.- Predictive Control.- Adaptive Control.

Editorial Reviews

From the reviews:

"The book is well organized and presents the most important classical and modern essentials of control engineering. Suitable for senior under graduate and under graduate students as well as practical engineers and researchers interested in modeling and control process." (Seenith Sivasundaram, Zentralblatt MATH, Vol. 1121 (23), 2007)

From the Publisher