Control System Design: An Introduction to State-Space Methods

By Bernard Friedland

Book Overview

Addressed not only to students but also to professional engineers and scientists, this volume introduces state-space methods for direct applications to control system design, in addition to providing background for reading the periodical literature. Its presentation, therefore, is suitable both for those who require methods for achieving results and those more interested in using results than in proving them. Topics include feedback control; state-space representation of dynamic systems and dynamics of linear systems; frequency-domain analysis; controllability and observability; and shaping the dynamic response. Additional subjects encompass linear observers; compensator design by the separation principle; linear, quadratic optimum control; random processes; and Kalman filters. Concrete examples of how state-space methods can be used to advantage in several representative applications are woven into the fabric of the text and the homework problems. Many of the models are drawn from aerospace and inertial instrumentation; other examples are derived from chemical process control, maritime operations, robotics, and energy systems.

• Format: Paperback
• Language: English
• ISBN: 0486442780
• ISBN13: 9780486442785
• Release Date: March 2005
• Publisher: Dover Publications
• Length: 513 Pages
• Weight: 1.60 lbs.
• Dimensions: 1.0" x 6.6" x 9.2"

Customer Reviews

Clear and concise

I really liked this text book. Its clear concise and very readable. Also it ha very practical examples and problems which make studying fun..

Very good text on state space

I'm a profesor whose taught out of this test twice for a graduate-level course on state space and modern control. This text is a joy to use - well written, clearly exmpained examples, and well thought out organization. I highly recommend it!

Pretty good.

A pretty good text on state space control theory. Quite thorough, but the examples were not clear enough. A good description of pole-placement methods and kalman filters (observers).