Image from Coce

Control system design : an introduction to state-space methods / Bernard Friedland.

By:

Friedland, Bernard [author.]

Material type: Text

TextPublisher: Mineola, NY : Dover Publications, 2005Edition: Dover editionDescription: xiv, 511 pages : illustrations ; 24 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

ISBN:

0486442780
9780486442785

Other title:

Introduction to state-space methods

Subject(s):

DDC classification:

629.8 22

LOC classification:

TJ213 .F865 2005

Summary: "Addressed not only to students but also to professional engineers and scientists, this volume introduces state-space methods for direct application to control system design, in addition to providing background for reading the periodical literature. 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 representative applications are woven into the fabric of the text and the homework problems. 1986 ed."--Publisher description.

Tags from this library: No tags from this library for this title. Log in to add tags.

Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Book	City Campus City Campus Main Collection	629.8 FRI (Browse shelf(Opens below))	1	Available		A456236B

Originally published: New York : McGraw-Hill, c1986.

Includes bibliographical references (pages 498-501) and index.

"Addressed not only to students but also to professional engineers and scientists, this volume introduces state-space methods for direct application to control system design, in addition to providing background for reading the periodical literature. 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 representative applications are woven into the fabric of the text and the homework problems. 1986 ed."--Publisher description.

Machine converted from AACR2 source record.

There are no comments on this title.

to post a comment.