
Quantitative Process Control Theory
Weidong Zhang(Author)
CRC Press
1st Edition
Published on 2. December 2011
Book
Hardback
472 pages
978-1-4398-5557-7 (ISBN)
Description
Quantitative Process Control Theory explains how to solve industrial system problems using a novel control system design theory. This easy-to-use theory does not require designers to choose a weighting function and enables the controllers to be designed or tuned for quantitative engineering performance indices such as overshoot.
In each chapter, a summary highlights the main problems and results and exercises improve and test your understanding of the material. Mathematical proofs are provided for almost all the results while examples are based on actual situations in industrial plants involving a paper-making machine, heat exchanger, hot strip mill, maglev, nuclear reactor, distillation column/heavy oil fractionator, jacket-cooled reactor, missile, helicopter/plane, and anesthesia.
Developed from the author's many years of research, this book takes a unique, practical approach for efficiently solving single-input and single-output (SISO) and multiple-input and multiple-output (MIMO) control system design issues for quantitative performance indices. With much of the material classroom-tested, the text is suitable for advanced undergraduate and graduate students in engineering, beginning researchers in robust control, and more seasoned engineers wanting to learn new design techniques.
In each chapter, a summary highlights the main problems and results and exercises improve and test your understanding of the material. Mathematical proofs are provided for almost all the results while examples are based on actual situations in industrial plants involving a paper-making machine, heat exchanger, hot strip mill, maglev, nuclear reactor, distillation column/heavy oil fractionator, jacket-cooled reactor, missile, helicopter/plane, and anesthesia.
Developed from the author's many years of research, this book takes a unique, practical approach for efficiently solving single-input and single-output (SISO) and multiple-input and multiple-output (MIMO) control system design issues for quantitative performance indices. With much of the material classroom-tested, the text is suitable for advanced undergraduate and graduate students in engineering, beginning researchers in robust control, and more seasoned engineers wanting to learn new design techniques.
More details
Series
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Graduate students and researchers in process control and chemical engineering.
Illustrations
183 s/w Abbildungen, 5 s/w Tabellen
5 Tables, black and white; 183 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 30 mm
Weight
872 gr
ISBN-13
978-1-4398-5557-7 (9781439855577)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Weidong Zhang
Quantitative Process Control Theory
Book
03/2017
1st Edition
CRC Press
€97.90
Shipment within 10-20 days

Weidong Zhang
Quantitative Process Control Theory
E-Book
12/2011
1st Edition
CRC Press
€88.49
Available for download

Weidong Zhang
Quantitative Process Control Theory
E-Book
12/2011
1st Edition
CRC Press
€88.49
Available for download
Person
Weidong Zhang is a professor at Shanghai Jiaotong University. Dr. Zhang has authored more than 200 refereed papers and holds 15 patents. His research interests include control theory and its applications, embedded systems, and wireless sensor networks.
Content
Introduction. Classical Analysis Methods. Essentials of the Robust Control Theory. H? PID Controllers for Stable Plants. H2 PID Controllers for Stable Plants. Control of Stable Plants. Control of Integrating Plants. Control of Unstable Plants. Complex Control Strategies. Analysis of MIMO Systems. Classical Design Methods for MIMO Systems. Quasi-H? Decoupling Control. H2 Decoupling Control. Multivariable H2 Optimal Control. Bibliography. Index.