Modern Control: State-Space Analysis and Design Methods
Published on 28. May 2020
Book
Hardback
192 pages
978-1-260-45924-1 (ISBN)
Description
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Apply a state-space approach to modern control system analysis and design
Written by an expert in the field, this concise textbook offers hands-on coverage of modern control system engineering. Modern Control: State-Space Analysis and Design Methods features start-to-finish design projects as well as online snippets of MATLAB code with simulations. The essential mathematics are presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive "just-in-time" math background from a comprehensive appendix and get step-by-step descriptions of the latest analysis and design techniques.
Coverage includes:
* An introduction to control systems
* State-space representations
* Pole placement via state feedback
* State estimators (observers)
* Non-minimal canonical forms
* Linearization
* Lyapunov stability
* Linear quadratic regulators (LQR)
* Symmetric root locus (SRL)
* Kalman filter
* Linear quadratic gaussian control (LQG)
Apply a state-space approach to modern control system analysis and design
Written by an expert in the field, this concise textbook offers hands-on coverage of modern control system engineering. Modern Control: State-Space Analysis and Design Methods features start-to-finish design projects as well as online snippets of MATLAB code with simulations. The essential mathematics are presented along with fully worked-out examples in gradually increasing degrees of difficulty. Readers will receive "just-in-time" math background from a comprehensive appendix and get step-by-step descriptions of the latest analysis and design techniques.
Coverage includes:
* An introduction to control systems
* State-space representations
* Pole placement via state feedback
* State estimators (observers)
* Non-minimal canonical forms
* Linearization
* Lyapunov stability
* Linear quadratic regulators (LQR)
* Symmetric root locus (SRL)
* Kalman filter
* Linear quadratic gaussian control (LQG)
More details
Language
English
Place of publication
OH
United States
Target group
College/higher education
Product notice
sewn/stitched
Cloth over boards
Illustrations
50 Illustrations
Dimensions
Height: 239 mm
Width: 192 mm
Thickness: 16 mm
Weight
350 gr
ISBN-13
978-1-260-45924-1 (9781260459241)
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Schweitzer Classification
Person
Dr. Arie Nakhmani (M.Sc. in Robust Control, Ph.D. in Computer Vision), is Associate Professor of Electrical and Computer Engineering, Associate Scientist in the Comprehensive Cancer Center, and director of ANRY lab at the University of Alabama at Birmingham. He is the author of over 50 peer-reviewed research articles and book chapters on robust control, machine learning, signal and image analysis.