Modern Control: State-Space Analysis and Design Methods

Author:   Arie Nakhmani
Publisher:   McGraw-Hill Education
ISBN:  

9781260459241


Pages:   192
Publication Date:   28 May 2020
Format:   Paperback
Availability:   In stock   Availability explained
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Modern Control: State-Space Analysis and Design Methods


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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. 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)

Full Product Details

Author:   Arie Nakhmani
Publisher:   McGraw-Hill Education
Imprint:   McGraw-Hill Education
Dimensions:   Width: 17.00cm , Height: 2.50cm , Length: 23.40cm
Weight:   0.479kg
ISBN:  

9781260459241


ISBN 10:   1260459241
Pages:   192
Publication Date:   28 May 2020
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In stock   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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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.

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