This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.

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This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples.

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Neural Networks Based Single Robot Arm Control for Visual Servoing.- Neural Networks for Robot Arm Cooperation with a Start Control Topology.- Neural Networks for Robot Arm Cooperation with a Hierarchical Control Topology.- Neural Networks for Robot Arm Cooperation with a Full Distributed Control Topology.

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This is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models, presenting methods and algorithms together with the corresponding theoretical analysis and simulated examples. It is intended for graduate students and academic and industrial researchers in the field of control, robotics, neural networks, simulation and modelling.

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Is the first book to focus on solving cooperative control problems of multiple robot arms using different centralized or distributed neural network models Includes both theoretical analyses of the models and simulated examples of industrial robot arms Is suitable for undergraduate and postgraduate students, as well as academic and industrial researchers from various fields of neural networks, robotics, control, simulation and modeling Includes supplementary material: sn.pub/extras
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GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
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Produktdetaljer

ISBN
9789811070365
Publisert
2017-11-10
Utgiver
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, UP, 05
Språk
Product language
Engelsk
Format
Product format
Heftet

Biografisk notat

Shuai Li received the B.E. degree in Precision Mechanical Engineering from Hefei University of Technology, China in 2005, the M.E. degree in Automatic Control Engineering from University of Science and Technology of China, China in 2008, and the Ph.D. degree in Electrical and Computer Engineering from Stevens Institute of Technology, USA in 2014. He is currently affiliated with Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. His main research interests include neural networks, robotics, control of networked systems, computation and optimization. He has been working on the research and application of neural networks/dynamics for 12 years. He has published more than 80 scientific works of various types. These include 20 IEEE-Transactions papers, and 60 SCI-indexed papers published in recent 5 years. The number of papers’ citations shown via Google Scholar Search is 807. He is now serving as associate editors of International Journal ofAdvanced Robotic Systems, Frontiers in Neurorobotics, Neural Processing Letters, Journal of Rehabilitation Robotics and editorial board members of International Journal of Distributed Sensor Networks and Neural Computation & Applications.

Yinyan Zhang received the B.E. degree from Sun Yat-sen University, Guangzhou, China. He is currently a PhD student at the Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. His main research interests include nonlinear systems, dynamic neural networks, and robotics. He has published more than 20 scientific papers as author or co-author (including 7 IEEE-transaction papers).