Shuai Li, Long Jin, Mohammed Aquil Mirza Kinematic Control of Redundant Robot Arms Using Neural Networks 9781119556961

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Автор: Shuai Li, Long Jin, Mohammed Aquil Mirza (Ли Шуай)
Название: Kinematic Control of Redundant Robot Arms Using Neural Networks
Перевод названия: Ли Шуай: Кинематическое управление избыточным вооружением робота с помощью нейронных сетей
ISBN: 9781119556961
Издательство: Wiley
Классификация:

Машиноведение и материаловедение

Электроника и техника связи

ISBN-10: 1119556961
Обложка/Формат: Hardback
Страницы: 216
Вес: 0.48 кг.
Дата издания: 19.04.2019
Серия: Wiley - ieee
Язык: English
Размер: 249 x 175 x 15
Читательская аудитория: Professional & vocational
Ключевые слова: Electronics & communications engineering,Mechanical engineering & materials
Основная тема: Mechanical engineering & materials,Electronics & communications engineering
Подзаголовок: A theoretical study
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Англии
Описание: Presents pioneering and comprehensive work on engaging movement in robotic arms, with a specific focus on neural networks This book presents and investigates different methods and schemes for the control of robotic arms whilst exploring the field from all angles. On a more specific level, it deals with the dynamic-neural-network based kinematic control of redundant robot arms by using theoretical tools and simulations. Kinematic Control of Redundant Robot Arms Using Neural Networks is divided into three parts: Neural Networks for Serial Robot Arm Control; Neural Networks for Parallel Robot Control; and Neural Networks for Cooperative Control. The book starts by covering zeroing neural networks for control, and follows up with chapters on adaptive dynamic programming neural networks for control; projection neural networks for robot arm control; and neural learning and control co-design for robot arm control. Next, it looks at robust neural controller design for robot arm control and teaches readers how to use neural networks to avoid robot singularity. It then instructs on neural network based Stewart platform control and neural network based learning and control co-design for Stewart platform control. The book finishes with a section on zeroing neural networks for robot arm motion generation. Provides comprehensive understanding on robot arm control aided with neural networks Presents neural network-based control techniques for single robot arms, parallel robot arms (Stewart platforms), and cooperative robot arms Provides a comparison of, and the advantages of, using neural networks for control purposes rather than traditional control based methods Includes simulation and modelling tasks (e.g., MATLAB) for onward application for research and engineering development By focusing on robot arm control aided by neural networks whilst examining central topics surrounding the field, Kinematic Control of Redundant Robot Arms Using Neural Networks is an excellent book for graduate students and academic and industrial researchers studying neural dynamics, neural networks, analog and digital circuits, mechatronics, and mechanical engineering.

Kinematic Control of Redundant Robot Arms Using Neural Networks, Shuai Li, Long Jin, Mohammed Aquil Mirza