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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)
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull'autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Paperback. Condizione: new. Paperback. 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 designWritten 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) This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9781260459241
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Buch. Condizione: Neu. Neuware - 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 designWritten 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). Codice articolo 9781260459241
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