Applied control systems design

Magdi S. Mahmoud, Yuanqing Xia

Research output: Book/ReportBookpeer-review

26 Scopus citations

Abstract

Applied Control System Design examines several methods for building up systems models based on real experimental data from typical industrial processes and incorporating system identification techniques. The text takes a comparative approach to the models derived in this way judging their suitability for use in different systems and under different operational circumstances. A broad spectrum of control methods including various forms of filtering, feedback and feedforward control is applied to the models and the guidelines derived from the closed-loop responses are then composed into a concrete self-tested recipe to serve as a check-list for industrial engineers or control designers. System identification and control design are given equal weight in model derivation and testing to reflect their equality of importance in the proper design and optimization of high-performance control systems. Readers assimilation of the material discussed is assisted by the provision of problems and examples. Most of these exercises use MATLAB to make computation and visualization more straightforward. Applied Control System Design will be of interest to academic researchers for its comparison of different systems models and their response to different control methods and will assist graduate students in learning the practical necessities of advanced control system design. The consistent reference to real systems coupled with self-learning tools will assist control practitioners who wish to keep up to date with the latest control design ideas.

Original languageEnglish
PublisherSpringer-Verlag London Ltd
Number of pages560
ISBN (Electronic)9781447128793
ISBN (Print)9781447128786
DOIs
StatePublished - 1 Jan 2012

Bibliographical note

Publisher Copyright:
© Springer-Verlag London Limited 2012.

ASJC Scopus subject areas

  • General Engineering

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