Neural Networks for Cooperative Control of Multiple Robot Arms, 1st ed. 2018 SpringerBriefs in Computational Intelligence Series
Auteurs : Li Shuai, Zhang Yinyan
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.
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.
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).
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
Date de parution : 11-2017
Ouvrage de 74 p.
15.5x23.5 cm
Thème de Neural Networks for Cooperative Control of Multiple... :
Mots-clés :
Neural networks; cooperation; computer simulations; robot arm; distributed control