Weibing Li (11 results)
- Hardcover
Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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- Hardcover
Seller: California Books, Miami, FL, U.S.A.California Books
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US$ 142.00
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- Hardcover
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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US$ 125.22
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Hardback. Condition: New. New copy - Usually dispatched within 4 working days.
- Hardcover
Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
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US$ 144.40
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
- Hardcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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- Hardcover
Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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US$ 153.56
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Condition: New.
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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US$ 181.55
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Hardcover. Condition: Brand New. 232 pages. 10.00x7.00x10.24 inches. In Stock.
- Hardcover
Seller: moluna, Greven, Germanymoluna
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US$ 143.12
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Condition: New. Weibing Li is currently an associate professor with the School of Computer Science and Engineering, Sun Yat-sen University. His research interests include robotics and neural networks. He has published more than 130 papers in journals, including I.
- Hardcover
- Print on Demand
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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US$ 134.01
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Hardcover. Condition: new. Hardcover. Focusing on error-dynamics-based neurodynamic networks (EDNNs) for optimal control of real-world robots, this book interrogates the application of neurodynamic methods to time-varying constrained optimization (TVCO) problems.Time-Varying Constrained Optimization and Robot Optimal Control: A…Neurodynamic Approachwith NCP Functions presents a thorough examination of EDNNs and their applications in TVCO and optimal control of robots. The authors systematically introduce the theoretical foundations, design methodologies, and robotic applications of EDNNs, emphasizing their superiority to traditional optimization solvers. In doing so, this book aims to fill gaps in the application of EDNNs to constrained optimization tasks with a focus on both serial robots (e.g., the Franka Emika Panda robot) and parallel robots (e.g., the Gough-Stewart platform). Key industrial challenges, including obstacle avoidance, joint-limit avoidance, pose control, and high-precision path tracking, are addressed with groundbreaking systematic integration of EDNNs and robot control, as validated by robot simulations and physical experiments.This book offers practical guidance for researchers and engineers while providing accessible insights for non-specialists, such as librarians and booksellers, on the value of EDNNs in advancing robotic control practices. Focusing on error-dynamics-based neurodynamic networks (EDNNs) for optimal control of real-world robots, this book interrogates the application of neurodynamic methods to time-varying constrained optimization (TVCO) problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
- Hardcover
- Print on Demand
Seller: CitiRetail, Stevenage, United KingdomCitiRetail
Contact seller5-star sellerCondition: New
US$ 152.64
US$ 50.31 shippingShips from United Kingdom to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Focusing on error-dynamics-based neurodynamic networks (EDNNs) for optimal control of real-world robots, this book interrogates the application of neurodynamic methods to time-varying constrained optimization (TVCO) problems.Time-Varying Constrained Optimization and Robot Optimal Control: A…Neurodynamic Approachwith NCP Functions presents a thorough examination of EDNNs and their applications in TVCO and optimal control of robots. The authors systematically introduce the theoretical foundations, design methodologies, and robotic applications of EDNNs, emphasizing their superiority to traditional optimization solvers. In doing so, this book aims to fill gaps in the application of EDNNs to constrained optimization tasks with a focus on both serial robots (e.g., the Franka Emika Panda robot) and parallel robots (e.g., the Gough-Stewart platform). Key industrial challenges, including obstacle avoidance, joint-limit avoidance, pose control, and high-precision path tracking, are addressed with groundbreaking systematic integration of EDNNs and robot control, as validated by robot simulations and physical experiments.This book offers practical guidance for researchers and engineers while providing accessible insights for non-specialists, such as librarians and booksellers, on the value of EDNNs in advancing robotic control practices. Focusing on error-dynamics-based neurodynamic networks (EDNNs) for optimal control of real-world robots, this book interrogates the application of neurodynamic methods to time-varying constrained optimization (TVCO) problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Hardcover
- Print on Demand
Seller: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contact seller5-star sellerCondition: New
US$ 179.17
US$ 37.00 shippingShips from Australia to U.S.A.Quantity: 1 available
Hardcover. Condition: new. Hardcover. Focusing on error-dynamics-based neurodynamic networks (EDNNs) for optimal control of real-world robots, this book interrogates the application of neurodynamic methods to time-varying constrained optimization (TVCO) problems.Time-Varying Constrained Optimization and Robot Optimal Control: A…Neurodynamic Approachwith NCP Functions presents a thorough examination of EDNNs and their applications in TVCO and optimal control of robots. The authors systematically introduce the theoretical foundations, design methodologies, and robotic applications of EDNNs, emphasizing their superiority to traditional optimization solvers. In doing so, this book aims to fill gaps in the application of EDNNs to constrained optimization tasks with a focus on both serial robots (e.g., the Franka Emika Panda robot) and parallel robots (e.g., the Gough-Stewart platform). Key industrial challenges, including obstacle avoidance, joint-limit avoidance, pose control, and high-precision path tracking, are addressed with groundbreaking systematic integration of EDNNs and robot control, as validated by robot simulations and physical experiments.This book offers practical guidance for researchers and engineers while providing accessible insights for non-specialists, such as librarians and booksellers, on the value of EDNNs in advancing robotic control practices. Focusing on error-dynamics-based neurodynamic networks (EDNNs) for optimal control of real-world robots, this book interrogates the application of neurodynamic methods to time-varying constrained optimization (TVCO) problems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
