Control System Design: An Introduction to State-Space Methods
(eBook)

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Published
Dover Publications, 2012.
Status
Available Online

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Format
eBook
Language
English
ISBN
9780486135113

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APA Citation, 7th Edition (style guide)

Bernard Friedland., & Bernard Friedland|AUTHOR. (2012). Control System Design: An Introduction to State-Space Methods . Dover Publications.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Bernard Friedland and Bernard Friedland|AUTHOR. 2012. Control System Design: An Introduction to State-Space Methods. Dover Publications.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Bernard Friedland and Bernard Friedland|AUTHOR. Control System Design: An Introduction to State-Space Methods Dover Publications, 2012.

MLA Citation, 9th Edition (style guide)

Bernard Friedland, and Bernard Friedland|AUTHOR. Control System Design: An Introduction to State-Space Methods Dover Publications, 2012.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID3514d08c-fe25-a14c-eb13-677a2b3dec0c-eng
Full titlecontrol system design an introduction to state space methods
Authorfriedland bernard
Grouping Categorybook
Last Update2023-10-07 20:16:12PM
Last Indexed2024-04-18 00:06:18AM

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    [synopsis] => 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. 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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