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010 a| 2012050923;

020 a| 9781466580879 (hardback : acid-free paper);

035 a| (WaSeSS)ssj0000876689;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| QA402.35b| .S36 2013;

082 00 a| 003/.832| 23;

084 a| TEC007000a| TEC0080002| bisacsh;

100 1 a| Sanchez, Edgar N.=| ^A1312993;

245 10 a| Discrete-time inverse optimal control for nonlinear systemsh| [electronic resource] /c| Edgar N. Sanchez, Fernando Ornelas-Tellez.;

260 a| Boca Raton, FL :b| CRC Press, Taylor & Francis Group,c| [2013];

300 a| xxx, 232 pages :b| illustrations (some color) ;c| 24 cm;

504 a| Includes bibliographical references (pages 203-219) and index.;

506 a| Available only to authorized users.;

520 a| "This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additionally, the book proposes the use of recurrent neural networks as a tool to model discrete-time nonlinear systems; such models combined with the inverse optimal control constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Different simulations illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Nonlinear control theory.=| ^A261106;

650 0 a| Neural networks (Computer science)=| ^A263002;

650 0 a| Discrete-time systems.=| ^A36463;

650 0 a| Kalman filtering.=| ^A158099;

650 7 a| TECHNOLOGY & ENGINEERING / Electrical2| bisacsh.;

650 7 a| TECHNOLOGY & ENGINEERING / Electronics / General2| bisacsh.;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Ornelas-Tellez, Fernando.?| UNAUTHORIZED;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=1220111;

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949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 5190679;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5190679-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 10/31/2019x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5190679-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 10/31/2019x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5190679-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 10/31/2019x| EBOOKz| JERESOURCE;

Discrete-time inverse optimal control for nonlinear systems / Edgar N. Sanchez, Fernando Ornelas-Tellez.

Author/creator	Sanchez, Edgar N.
Other author	Ornelas-Tellez, Fernando.
Format	Electronic
Publication Info	Boca Raton, FL : CRC Press, Taylor & Francis Group, [2013]
Description	xxx, 232 pages : illustrations (some color) ; 24 cm
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Nonlinear control theory. Neural networks (Computer science) Discrete-time systems. Kalman filtering.

Abstract	"This book presents a novel inverse optimal control approach for stabilization and trajectory tracking of discrete-time nonlinear systems, avoiding the need to solve the associated Hamilton-Jacobi-Bellman equation, and minimizing a cost functional, resulting in efficient controllers. Additionally, the book proposes the use of recurrent neural networks as a tool to model discrete-time nonlinear systems; such models combined with the inverse optimal control constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Different simulations illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems"-- Provided by publisher.
Bibliography note	Includes bibliographical references (pages 203-219) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2012050923
ISBN	9781466580879 (hardback : acid-free paper)

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Discrete-time inverse optimal control for nonlinear systems / Edgar N. Sanchez, Fernando Ornelas-Tellez.

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