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Decentralized Neural Control: Application to Robotics

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 gat...

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Main Authors: Garcia-Hernandez, Ramon. (Author, http://id.loc.gov/vocabulary/relators/aut), Lopez-Franco, Michel. (http://id.loc.gov/vocabulary/relators/aut), Sanchez, Edgar N. (http://id.loc.gov/vocabulary/relators/aut), Alanis, Alma y. (http://id.loc.gov/vocabulary/relators/aut), Ruz-Hernandez, Jose A. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Studies in Systems, Decision and Control, 96
Subjects:
Computational intelligence.
Control engineering.
Robotics.
Automation.
Computational Intelligence.
Control and Systems Theory.
Robotics and Automation.
Online Access:https://doi.org/10.1007/978-3-319-53312-4
Table of Contents:
  • Introduction
  • Foundations
  • Decentralized Neural Block Control
  • Decentralized Neural Backstepping Control
  • Decentralized Inverse Optimal Control for Stabilization: a CLF Approach
  • Decentralized Inverse Optimal Control for Trajectory Tracking
  • Robotics Application
  • Conclusions.

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