
Modern Control Systems: an Introduction
An Introduction
S.M. Tripathi(Author)
Jones and Bartlett Publishers, Inc
Published on 12. May 2008
Book
Paperback/Softback
350 pages
978-1-934015-21-6 (ISBN)
Description
Designed for a short course on control systems or as a review for the professional engineer, this book provides a lucid introduction to modern control systems topics. The five chapters, "State-Variable Analysis of Continuous-Time Systems," "Analysis of Discrete-Time Systems," "Stability Analysis of Non-Linear Systems," "Optimal Control," and "Adaptive Control" have been written to emphasize concepts and provide the basic mathematical derivations. Complete coverage of standard topics, e.g., eigenvalues, eigenvectors, the z-transform, Lyapunov's Method, controllability, observability, etc. are discussed. Numerous examples and exercises have also been included in the book for self-study. A CD-ROM with MATLAB applications and third-party simulations provides practical design techniques and observations of real control systems (please note, eBook version does not include the CD-ROM).The contents of the CD-ROM are available for download under the Samples tab.
More details
Language
English
Place of publication
Sudbury
United States
Target group
College/higher education
Professional and scholarly
Weight
652 gr
ISBN-13
978-1-934015-21-6 (9781934015216)
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Schweitzer Classification
Other editions
Previous edition
Book
Jones and Bartlett Publishers, Inc
€64.56
The article will not be published
Person
S. Tripathi is an industry professional whose areas of interest include modern control systems, power electronics, and electric drives.
Content
Direct time-domain approach; state-variable analysis; continuous-time systems; analysis of discrete-time systems; stability analysis of non-linear systems; optimal control; adaptive control; sampling; feedback controls; mathematical derivations and modeling; Gilbert test; closed-loop system; eigenvalues, eigenvectors, the z-transform, Lyapunov's method; controllability; observability; adaptability; adaptive systems; MATLAB simulations.