Control System Design: An Introduction to State-Space Methods

Control System Design: An Introduction to State-Space Methods

by Bernard Friedland
     
 

ISBN-10: 0486442780

ISBN-13: 9780486442785

Pub. Date: 03/24/2005

Publisher: Dover Publications

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

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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.

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Product Details

ISBN-13:
9780486442785
Publisher:
Dover Publications
Publication date:
03/24/2005
Series:
Dover Books on Electrical Engineering Series
Pages:
528
Sales rank:
638,088
Product dimensions:
6.66(w) x 9.34(h) x 1.02(d)

Table of Contents

Preface
1. Feedback Control
2. State-Space Representation of Dynamic Systems
3. Dynamics of Linear Systems
4. Frequency-Domain Analysis
5. Controllability and Observability
6. Shaping the Dynamic Response
7. Linear Observers
8. Compensator Design by the Separation Principle
9. Linear, Quadratic Optimum Control
10. Random Processes
11. Kalman Filters: Optimum Observers
Appendix
Bibliography
Indexes

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