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Hardcover. Condition: New. Dust Jacket Condition: 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.
Seller: Sizzler Texts, SAN GABRIEL, CA, U.S.A.
Hardcover. Condition: New. Dust Jacket Condition: 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.
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Hardcover. Condition: 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.
Seller: Aideo Books, San Marino, CA, U.S.A.
Hardcover. Condition: New in new dust jacket. First edition. 1st. ***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.
Seller: HPB-Red, Dallas, TX, U.S.A.
hardcover. Condition: 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!
Seller: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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Seller: ALLBOOKS1, Direk, SA, Australia
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jun 2015, 2015
ISBN 10: 364243455X ISBN 13: 9783642434556
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. 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 ofneural adaptivecontrol, mechanical systems, Matlab simulation, engineering design, robotics and automation.Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.
Published by Springer Berlin Heidelberg, 2015
ISBN 10: 364243455X ISBN 13: 9783642434556
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
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Add to basketTaschenbuch. Condition: 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.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642348157 ISBN 13: 9783642348150
Language: English
Seller: Buchpark, Trebbin, Germany
£ 125.87
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Add to basketCondition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jan 2013, 2013
ISBN 10: 3642348157 ISBN 13: 9783642348150
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketBuch. Condition: Neu. 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 ofneural adaptivecontrol, mechanical systems, Matlab simulation, engineering design, robotics and automation.Jinkun Liu is a professor at Beijing University of Aeronautics and Astronautics.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.
Published by Springer Berlin Heidelberg, 2013
ISBN 10: 3642348157 ISBN 13: 9783642348150
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 191.40
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Add to basketBuch. Condition: 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.
Seller: Revaluation Books, Exeter, United Kingdom
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Add to basketHardcover. Condition: Brand New. 2013 edition. 380 pages. 9.20x6.30x1.10 inches. In Stock.
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
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Published by Springer Berlin Heidelberg Jun 2015, 2015
ISBN 10: 364243455X ISBN 13: 9783642434556
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: 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.
Published by Springer Berlin Heidelberg, 2015
ISBN 10: 364243455X ISBN 13: 9783642434556
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: 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.
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Add to basketCondition: New. PRINT ON DEMAND pp. 365.