modern control state space (21 Ergebnisse)

Soft cover. Zustand: New. ISBN:9789390385430,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.

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Paperback. Zustand: 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).

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Paperback. Zustand: 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).

Zustand: New. This book summarizes Lyapunov design techniques for nonlinear systems and raises important issues concerning large-signal robustness and performance. The authors have been the first to address some of these issues, and they report their findings in this text. Series: Modern Birkhauser Classics. Num Pages: 257 pages, 2 black & white tables, biography. BIC Classification: TBJ; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 427. . 2008. Reprint of the 1996 ed. Paperback. . . . .

Zustand: New. &Uumlber 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.

Paperback. Zustand: 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).

Zustand: New. This book summarizes Lyapunov design techniques for nonlinear systems and raises important issues concerning large-signal robustness and performance. The authors have been the first to address some of these issues, and they report their findings in this text. Series: Modern Birkhauser Classics. Num Pages: 257 pages, 2 black & white tables, biography. BIC Classification: TBJ; TJFM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 234 x 156 x 14. Weight in Grams: 427. . 2008. Reprint of the 1996 ed. Paperback. . . . . Books ship from the US and Ireland.

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Paperback. Zustand: 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).

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Paperback. Zustand: 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.

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Paperback. Zustand: 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.