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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.
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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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Paperback. Condition: 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 multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781260459241
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Paperback. Condition: New. 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). Seller Inventory # LU-9781260459241
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Paperback. Condition: New. 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). Seller Inventory # LU-9781260459241
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Condition: New. Über den AutorDr. 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 dire. Seller Inventory # 333886009
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