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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Detaylı Bibliyografya
Asıl Yazarlar: Garcia-Hernandez, Ramon (Yazar), Lopez-Franco, Michel (Yazar), Sanchez, Edgar N. (Yazar), Alanis, Alma y. (Yazar), Ruz-Hernandez, Jose A. (Yazar)
Müşterek Yazar: SpringerLink (Online service)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edisyon:1st ed. 2017.
Seri Bilgileri:Studies in Systems, Decision and Control, 96
Konular:
Computational intelligence.
Control engineering.
Robotics.
Automation.
Computational Intelligence.
Control and Systems Theory.
Control, Robotics, Automation.
Online Erişim:Full-text access
İçindekiler:
  • 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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