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Item Details
Title: DECENTRALIZED NEURAL CONTROL: APPLICATION TO ROBOTICS
By: Ramon Garcia-Hernandez, Michel Lopez-Franco, Edgar N. Sanchez
Format: Hardback

List price: £109.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3319533118
ISBN 13: 9783319533117
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 13 February, 2017
Edition: 1st ed. 2017
Series: Studies in Systems, Decision and Control 96
Pages: 111
Synopsis: 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 third control 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.
Illustrations: 3 Illustrations, color; 51 Illustrations, black and white; XV, 111 p. 54
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Returnable
Some other items by this author:
ADVANCES IN COMPUTATIONAL INTELLIGENCE (PB)
BIO-INSPIRED ALGORITHMS FOR ENGINEERING (PB)
DECENTRALIZED NEURAL CONTROL: APPLICATION TO ROBOTICS (PB)
DIFFERENTIAL NEURAL NETWORKS FOR ROBUST NONLINEAR CONTROL: IDENTIFICATION, STATE ESTIMATION AND TRAJECTORY TRACKING (HB)
DISCRETE-TIME HIGH ORDER NEURAL CONTROL (HB)
DISCRETE-TIME HIGH ORDER NEURAL CONTROL (PB)
DISCRETE-TIME INVERSE OPTIMAL CONTROL FOR NONLINEAR SYSTEMS
DISCRETE-TIME INVERSE OPTIMAL CONTROL FOR NONLINEAR SYSTEMS (HB)
DISCRETE-TIME INVERSE OPTIMAL CONTROL FOR NONLINEAR SYSTEMS (PB)
DISCRETE-TIME NEURAL OBSERVERS (PB)
DISCRETE-TIME RECURRENT NEURAL CONTROL
DOUBLY FED INDUCTION GENERATORS
DOUBLY FED INDUCTION GENERATORS
DOUBLY FED INDUCTION GENERATORS
DOUBLY FED INDUCTION GENERATORS (HB)
NEURAL CONTROL OF RENEWABLE ELECTRICAL POWER SYSTEMS
NEURAL CONTROL OF RENEWABLE ELECTRICAL POWER SYSTEMS (HB)
NEURAL NETWORKS FOR ROBOTICS
NEURAL NETWORKS FOR ROBOTICS (HB)
NEURAL NETWORKS MODELING AND CONTROL
NONLINEAR PINNING CONTROL OF COMPLEX DYNAMICAL NETWORKS
NONLINEAR PINNING CONTROL OF COMPLEX DYNAMICAL NETWORKS (HB)

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