Téléchargez le livre : Decentralized Neural Control: Application to Robotics

Decentralized Neural Control: Application to Robotics

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Éditeur :

Springer


Collection :

Studies in Systems, Decision and Control

Paru le : 2017-02-05

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Description

This book provides a decentralized approach for the identification and control of robotics systems. It also presents recent research in decentralized neural control and includes applications to robotics. Decentralized control is free from difficulties due to complexity in design, debugging, data gathering and storage requirements, making it preferable for interconnected systems. Furthermore, as opposed to the centralized approach, it can be implemented with parallel processors.
This approach deals with four decentralized control schemes, which are able to identify the robot dynamics. The training of each neural network is performed on-line using an extended Kalman filter (EKF).
The first indirect decentralized control scheme applies the discrete-time block control approach, to formulate a nonlinear sliding manifold.The second direct decentralized neural control scheme is based on the backstepping technique, approximated by a high order neural network.
The thirdcontrol scheme applies a decentralized neural inverse optimal control for stabilization.
The fourth decentralized neural inverse optimal control is designed for trajectory tracking.
This comprehensive work on decentralized control of robot manipulators and mobile robots is intended for professors, students and professionals wanting to understand and apply advanced knowledge in their field of work. 
Pages
111 pages
Collection
Studies in Systems, Decision and Control
Parution
2017-02-05
Marque
Springer
EAN papier
9783319533117
EAN PDF
9783319533124
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
4434 Ko
Prix
116,59 €
EAN EPUB
9783319533124
Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
11
Taille du fichier
2601 Ko
Prix
116,59 €

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