Ján Mikles, Miroslav Fikar

Process Modelling, Identification, and Control (eBook, PDF)

• Format: PDF

Produktbeschreibung

This compact and original reference and textbook presents the most important classical and modern essentials of control engineering in one book. It constitutes a harmonic mixture of control theory and applications, which makes the book especially useful for graduate students, practicing engineers and researchers interested in modeling and control of processes. This well written and easily understandable book includes a broad spectrum of methods for the analysis and design of control systems in a very thorough way. The book includes solved multitude of practical applications, examples, exercises and unsolved problems at the end of each chapter as well as Matlab tools which are freely available at the web page of the book.

"This is an impressive book really worth to be published. I do not know of any modern textbook including such a broad spectrum of classical and modern methods for analysis and synthesis of control systems not being represented superficially but very thoroughly" Heinz Unbehauen, Bochum University

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Produktdetails

• Verlag: Springer Berlin Heidelberg
• Seitenzahl: 480
• Erscheinungstermin: 30. Juni 2007
• Englisch
• ISBN-13: 9783540719700
• Artikelnr.: 37366736

Autorenporträt

Jan Mikles, Slovak University of Technology in Bratislava, Slovak Republic / Miroslav Fikar, Slovak University of Technology in Bratislava, Slovak Republic

Inhaltsangabe

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.

Rezensionen

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)