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Control System Design: An Introduction to State-Space Methods (Dover Books on Electrical Engineering)

Control System Design: An Introduction to State-Space Methods (Dover Books on Electrical Engineering)

Control System Design: An Introduction to State-Space Methods (Dover Books on
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Control System Design: An Introduction to State-Space Methods (Dover Books on Electrical Engineering) Paperback - 2005

by Bernard Friedland

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Dover Publications, 2005-03-24. Illustrated. paperback. New. 6.50x1.00x9.00. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Control System Design: An Introduction to State-Space Methods (Dover Books on Electrical Engineering)
  • Author Bernard Friedland
  • Binding Paperback
  • Edition Illustrated
  • Condition New
  • Pages 513
  • Volumes 1
  • Language ENG
  • Publisher Dover Publications
  • Publication date 2005-03-24
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # DADAX0486442780
  • ISBN 9780486442785 / 0486442780
  • Weight 1.7 lbs (0.77 kg)
  • Dimensions 9.2 x 6.58 x 1.01 in (23.37 x 16.71 x 2.57 cm)
  • Size 6.50x1.00x9.00
  • Category Technology & Industrial Arts
  • Library of Congress subjects System design, Automatic control
  • Library of Congress Catalogue Number 2004063542
  • Dewey Decimal Code 629.8
  • Quantity available 6

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Reader reviews for Control System Design: An Introduction to State-Space Methods (Dover Books on Electrical Engineering)

From the publisher

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.
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