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Publicado por Springer, Berlin|Springer Nature Switzerland|Springer, 2023
ISBN 10: 3031297539 ISBN 13: 9783031297533
Idioma: Inglés
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Publicado por Springer Nature Switzerland, 2024
ISBN 10: 3031297563 ISBN 13: 9783031297564
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is entirely devoted to sampled-data control systems analysis anddesign from a new point of view, which has at its core a mathematical tool namedDifferential Linear Matrix Inequality - DLMI, a natural generalization of LinearMatrix Inequality - LMI, that had an important and deep impact on systems andcontrol theory almost thirty years ago. It lasts until now. It is shown that theDLMI is well adapted to deal with the important class of sampled-data controlsystems in both theoretical and numerical contexts. All design conditions areexpressed by convex programming problems, including when robustness againstparameter uncertainty is assessed and imposed through state feedback control.Special attention is given to filter, dynamic output feedback and model predictivecontrol design, as well as nonlinear systems of Lur'e class and Markov jump linearsystems.The subject is treated with mathematical rigor, at the same time, trying tokeep the reading agreeable and fruitful for colleagues and students. Tothis respect, the book contains together with the theoretical developments, manysolved illustrative examples and the formulation of some open problems that couldbe faced and hopefully solved by interested readers.
Publicado por Springer Nature Switzerland, 2023
ISBN 10: 3031297539 ISBN 13: 9783031297533
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 128,39
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is entirely devoted to sampled-data control systems analysis anddesign from a new point of view, which has at its core a mathematical tool namedDifferential Linear Matrix Inequality - DLMI, a natural generalization of LinearMatrix Inequality - LMI, that had an important and deep impact on systems andcontrol theory almost thirty years ago. It lasts until now. It is shown that theDLMI is well adapted to deal with the important class of sampled-data controlsystems in both theoretical and numerical contexts. All design conditions areexpressed by convex programming problems, including when robustness againstparameter uncertainty is assessed and imposed through state feedback control.Special attention is given to filter, dynamic output feedback and model predictivecontrol design, as well as nonlinear systems of Lur'e class and Markov jump linearsystems.The subject is treated with mathematical rigor, at the same time, trying tokeep the reading agreeable and fruitful for colleagues and students. Tothis respect, the book contains together with the theoretical developments, manysolved illustrative examples and the formulation of some open problems that couldbe faced and hopefully solved by interested readers.
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Publicado por Springer Nature Switzerland, Springer Nature Switzerland Jun 2024, 2024
ISBN 10: 3031297563 ISBN 13: 9783031297564
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 128,39
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -This book is entirely devoted to sampled-data control systems analysis and design from a new point of view, which has at its core a mathematical tool named Differential Linear Matrix Inequality - DLMI, a natural generalization of Linear Matrix Inequality - LMI, that had an important and deep impact on systems and control theory almost thirty years ago. It lasts until now. It is shown that the DLMI is well adapted to deal with the important class of sampled-data control systems in both theoretical and numerical contexts. All design conditions are expressed by convex programming problems, including when robustness against parameter uncertainty is assessed and imposed through state feedback control.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch.
Publicado por Springer Nature Switzerland, Springer International Publishing Jun 2023, 2023
ISBN 10: 3031297539 ISBN 13: 9783031297533
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 128,39
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Añadir al carritoBuch. Condición: Neu. Neuware -This book is entirely devoted to sampled-data control systems analysis and design from a new point of view, which has at its core a mathematical tool named Differential Linear Matrix Inequality - DLMI, a natural generalization of Linear Matrix Inequality - LMI, that had an important and deep impact on systems and control theory almost thirty years ago. It lasts until now. It is shown that the DLMI is well adapted to deal with the important class of sampled-data control systems in both theoretical and numerical contexts. All design conditions are expressed by convex programming problems, including when robustness against parameter uncertainty is assessed and imposed through state feedback control.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 268 pp. Englisch.
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Añadir al carritoCondición: New. 2023rd edition NO-PA16APR2015-KAP.
Librería: dsmbooks, Liverpool, Reino Unido
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Publicado por Springer Verlag Gmbh Jun 2024, 2024
ISBN 10: 3031297563 ISBN 13: 9783031297564
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware Englisch.
Publicado por Springer Nature Switzerland Jun 2023, 2023
ISBN 10: 3031297539 ISBN 13: 9783031297533
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 128,39
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book is entirely devoted to sampled-data control systems analysis anddesign from a new point of view, which has at its core a mathematical tool namedDifferential Linear Matrix Inequality - DLMI, a natural generalization of LinearMatrix Inequality - LMI, that had an important and deep impact on systems andcontrol theory almost thirty years ago. It lasts until now. It is shown that theDLMI is well adapted to deal with the important class of sampled-data controlsystems in both theoretical and numerical contexts. All design conditions areexpressed by convex programming problems, including when robustness againstparameter uncertainty is assessed and imposed through state feedback control.Special attention is given to filter, dynamic output feedback and model predictivecontrol design, as well as nonlinear systems of Lur'e class and Markov jump linearsystems.The subject is treated with mathematical rigor, at the same time, trying tokeep the reading agreeable and fruitful for colleagues and students. Tothis respect, the book contains together with the theoretical developments, manysolved illustrative examples and the formulation of some open problems that couldbe faced and hopefully solved by interested readers. 268 pp. Englisch.
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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