Description
Quantitative Process Control Theory
Automation and Control Engineering Series
Author: Zhang Weidong
Language: English
Subjects for Quantitative Process Control Theory:
Keywords
Pid Controller; Transfer Function Matrix; Quantitative Process Control; Smith Predictor; control system design; Asymptotic Tracking Property; single-input and single-output control system; Unity Feedback Loop; SISO systems; Optimal Controller; quantitative engineering performance indices; Youla Parameterization; multiple-input and multiple-output control system; Unstable Plants; MIMO systems; H2 Optimal Control; robust control theory; Closed Loop Response; Control Engineering; Closed Loop Transfer Function; Uncertainty Profile; MIMO System; RHP Poles; RS; Stabilize PID Controller; MIMO Plant; Closed Loop Transfer Function Matrix; Performance Degree; Stable Transfer Function; H2 Controller; Diagonal Factorization; SISO System; Nominal Plant
Publication date: 04-2017
· 15.6x23.4 cm · Paperback
Publication date: 12-2011
474 p. · 15.6x23.4 cm · Hardback
Description
/li>Contents
/li>Readership
/li>Biography
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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.
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.
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.
