Linear Control Systems With solved problems and MATLAB examples Authors (view affiliations) Branislav Kisačanin Gyan C. Agarwal Book 4 Citations 2 Readers 3.5k Downloads Part of the The University Series in Mathematics book series (USMA)
Table of contents 1. Front Matter Pages i-xiii PDF 2. Theory of linear control systems 1. Front Matter Pages 1-1 PDF 2. Historical overview of automatic control Branislav Kisačanin, Gyan C. Agarwal Pages 3-22 3. Modern control theory Branislav Kisačanin, Gyan C. Agarwal Pages 23-70 3. Solved problems 1. Front Matter Pages 71-71 PDF 2. Continuous linear systems Branislav Kisačanin, Gyan C. Agarwal Pages 73-205 3. Discrete linear systems Branislav Kisačanin, Gyan C. Agarwal Pages 207-272 4. Exercise problems Branislav Kisačanin, Gyan C. Agarwal Pages 273-285 4. Back Matter Pages 287-381 PDF
About this book Introduction Anyone seeking a gentle introduction to the methods of modern control theory and engineering, written at the level of a first-year graduate course, should consider this book seriously. It contains: A generous historical overview of automatic control, from Ancient Greece to the 1970s, when this discipline matured into an essential field for electrical, mechanical, aerospace, chemical, and biomedical engineers, as well as mathematicians, and more recently, computer scientists; A balanced presentation of the relevant theory: the main state-space methods for description, analysis, and design of linear control systems are derived, without overwhelming theoretical arguments; Over 250 solved and exercise problems for both continuous- and discrete-time systems, often including MATLAB simulations; and Appendixes on MATLAB, advanced matrix theory, and the history of mathematical tools such as differential calculus, transform methods, and linear algebra. Another noteworthy feature is the frequent use of an inverted pendulum on a cart to illustrate the most important concepts of automatic control, such as: Linearization and discretization; Stability, controllability, and observability; State feedback, controller design, and optimal control; and Observer design, reduced order observers, and Kalman filtering. Most of the problems are given with solutions or MATLAB simulations. Whether the book is used as a textbook or as a self-study guide, the knowledge gained from it will be an excellent platform for students and practising engineers to explore further the recent developments and applications of control theory.
Keywords MatLab computer design optimal control simulation Authors and affiliations
Branislav Kisačanin (1) Gyan C. Agarwal (2) 1. Delphi Delco Electronics Systems, Kokomo, USA 2. University of Illinois at Chicago, Chicago, USA
Bibliographic information DOI (Digital Object Identifier) http://doi.org/10.1007/978-1-4615-0553-2 Copyright Information Kluwer Academic/Plenum Publishers, New York 2001 Publisher Name Springer, Boston, MA eBook Packages Springer Book Archive Print ISBN 978-1-4613-5129-0
Online ISBN 978-1-4615-0553-2 About this book
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