Téléchargez le livre : Dynamic Neural Networks for Motion Control of Redundant Manipulators

Dynamic Neural Networks for Motion Control of Redundant Manipulators

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Springer


Paru le : 2025-09-30

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Description

This book discusses the development and application of dynamic neural networks (DNNs) for solving complex motion control problems in redundant manipulators. Specifically, it presents a series of advanced DNNs, including noise-rejection DNNs, fuzzy-parameter DNNs, and so on, which are designed to optimize performance while ensuring robustness and computational efficiency. Based on the presented DNNs, this book further constructs a series of motion control schemes for redundant manipulators to address some key challenges such as cyclic motion, position and orientation tracking, and model-unknown scenarios. Each method is rigorously demonstrated for the convergence, and its effectiveness is validated through simulations and physical experiments. By integrating computational intelligence with control theory, this book provides a comprehensive framework for solving time-varying and noise-perturbed problems in robotics, making it a valuable resource for researchers and practitioners in the field.
Pages
226 pages
Collection
n.c
Parution
2025-09-30
Marque
Springer
EAN papier
9789819691432
EAN PDF
9789819691449
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
27064 Ko
Prix
158,24 €
EAN EPUB
9789819691449
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
22
Taille du fichier
43510 Ko
Prix
158,24 €

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