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Radial Basis Function Rbf Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation - Couverture rigide
Synopsis
Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design.
This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation.Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics.
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Présentation de l'éditeur
This book introduces concrete design methods and MATLAB simulations of stable adaptive Radial Basis Function (RBF) neural control strategies. It presents a broad range of implementable neural network control design methods for mechanical systems.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Edition internationale
Radial Basis Function Neural Network Control for Mechanical Systems, Hardcover edition
Edition internationaleVendeur : Sizzler Texts, SAN GABRIEL, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : New. Etat de la jaquette : New. 1st Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service. N° de réf. du vendeur ABE-10806887557
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Edition internationale
Radial Basis Function (Rbf) Neural Network Control for Mechanical Systems: Design, Analysis and MATLAB Simulation, Hardcover
Edition internationaleVendeur : Aideo Books, San Marino, CA, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardcover. Etat : New in new dust jacket. First edition. 2013 ed. ***INTERNATIONAL EDITION*** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments contain tracking numbers. Great professional textbook selling experience and expedite shipping service. Sewn binding. Cloth over boards. 365 p. Contains: Unspecified, Illustrations, black & white, Illustrations, color. Audience: General/trade. N° de réf. du vendeur K186H0000483
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Radial Basis Function (rbf) Neural Network Control For Mechanical Systems
Vendeur : Romtrade Corp., STERLING HEIGHTS, MI, Etats-Unis
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Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. N° de réf. du vendeur ABNR-90575
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Radial Basis Function (rbf) Neural Network Control For Mechanical Systems
Vendeur : Basi6 International, Irving, TX, Etats-Unis
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Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. N° de réf. du vendeur ABEJUNE24-272387
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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems : Design, Analysis and Matlab Simulation
Edité par
Springer Berlin Heidelberg, 2013
ISBN 10 : 3642348157
ISBN 13 : 9783642348150
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Etat : Sehr gut. Zustand: Sehr gut | Seiten: 384 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 23189497/12
Quantité disponible : 1 disponible(s)
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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
Edité par
Springer Berlin Heidelberg, 2013
ISBN 10 : 3642348157
ISBN 13 : 9783642348150
Neuf
Couverture rigide
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Fundamental and thorough understanding in the neural network control system design Typical adaptive RBF neural controllers design and stability analysis are given in a concise manner Many engineering application examples for mechanical syst. N° de réf. du vendeur 5057743
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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems: Design, Analysis and Matlab Simulation
Edité par
Springer, 2013
ISBN 10 : 3642348157
ISBN 13 : 9783642348150
Ancien ou d'occasion
Couverture rigide
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
hardcover. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority! N° de réf. du vendeur S_420366572
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Radial Basis Function Rbf Neural Network Control for Mechanical Systems : Design, Analysis and Matlab Simulation
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Etat : New. N° de réf. du vendeur 19074854-n
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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems : Design, Analysis and Matlab Simulation
Edité par
Springer Berlin Heidelberg, 2013
ISBN 10 : 3642348157
ISBN 13 : 9783642348150
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design. This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation. Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics. N° de réf. du vendeur 9783642348150
Quantité disponible : 1 disponible(s)
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Radial Basis Function (RBF) Neural Network Control for Mechanical Systems
Edité par
Springer Berlin Heidelberg Jan 2013, 2013
ISBN 10 : 3642348157
ISBN 13 : 9783642348150
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design methods and MATLAB simulation of stable adaptive RBF neural control strategies. In this book, a broad range of implementable neural network control design methods for mechanical systems are presented, such as robot manipulators, inverted pendulums, single link flexible joint robots, motors, etc. Advanced neural network controller design methods and their stability analysis are explored. The book provides readers with the fundamentals of neural network control system design. This book is intended for the researchers in the fields of neural adaptive control, mechanical systems, Matlab simulation, engineering design, robotics and automation. Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics. 384 pp. Englisch. N° de réf. du vendeur 9783642348150
Quantité disponible : 2 disponible(s)