Linear Control Systems: With solved problems and MATLAB examples (University Series in Mathematics)

Kisacanin, Branislav, Agarwal, Gyan C.

ISBN 10: 0306467437 / ISBN 13: 9780306467431

Published by Springer (edition 2001), 2001

About this Item

It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience.

Seller Inventory # 0306467437-11-1

Bibliographic Details

• Title: Linear Control Systems: With solved problems and MATLAB examples (University Series in Mathematics)
• Publisher: Springer (edition 2001)
• Publication Date: 2001
• Language: English
• ISBN 10: 0306467437
• ISBN 13: 9780306467431
• Binding: Hardcover
• Edition: 2001.
• Condition: Good

About this title

Synopsis

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.