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Synopsis
This book presents a unified view of modelling, simulation, and control of non- linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don't have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application.
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- ÉditeurPhysica
- Date d'édition2012
- ISBN 10 3662003678
- ISBN 13 9783662003671
- ReliureBroché
- Langueanglais
- Nombre de pages240
- Coordonnées du fabricantnon disponible
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Soft Computing for Control of Non-Linear Dynamical Systems
Edité par
Physica-Verlag HD, 2012
ISBN 10 : 3662003678
ISBN 13 : 9783662003671
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Mathematical concepts are used in combination with soft computing techniques to realize robust and adaptive control of dynamical systemsPresentation of the latest achievements in combining soft computing techniques and their applicationsThis book pr. N° de réf. du vendeur 5221103
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Soft Computing for Control of Non-Linear Dynamical Systems
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a unified view of modelling, simulation, and control of non linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don't have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application. N° de réf. du vendeur 9783662003671
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Soft Computing for Control of Non-Linear Dynamical Systems (Studies in Fuzziness and Soft Computing)
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Soft Computing for Control of Non-Linear Dynamical Systems
Edité par
Physica-Verlag HD Aug 2012, 2012
ISBN 10 : 3662003678
ISBN 13 : 9783662003671
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book presents a unified view of modelling, simulation, and control of non linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don't have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch. N° de réf. du vendeur 9783662003671
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Soft Computing for Control of Non-Linear Dynamical Systems
Vendeur : Books Puddle, New York, NY, Etats-Unis
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impression à la demandeVendeur : Majestic Books, Hounslow, Royaume-Uni
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Soft Computing for Control of Non-Linear Dynamical Systems
impression à la demandeVendeur : Biblios, Frankfurt am main, HESSE, Allemagne
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Etat : New. PRINT ON DEMAND pp. 240. N° de réf. du vendeur 18142301748
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Soft Computing for Control of Non-Linear Dynamical Systems
Edité par
Physica-Verlag, Physica-Verlag HD, Physica Aug 2012, 2012
ISBN 10 : 3662003678
ISBN 13 : 9783662003671
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents a unified view of modelling, simulation, and control of non linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don't have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application. 224 pp. Englisch. N° de réf. du vendeur 9783662003671
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Soft Computing for Control of Non-Linear Dynamical Systems
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