Decentralized Neural Control: Application to Robotics

• Κύριοι συγγραφείς: Garcia-Hernandez, Ramon (Συγγραφέας), Lopez-Franco, Michel (Συγγραφέας), Sanchez, Edgar N. (Συγγραφέας), Alanis, Alma y. (Συγγραφέας), Ruz-Hernandez, Jose A. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
• Σειρά: Studies in Systems, Decision and Control, 96
• Θέματα: Engineering.; Computational intelligence.; Control engineering.; Robotics.; Automation.; Computational Intelligence.; Control.; Robotics and Automation.

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...

Πίνακας περιεχομένων:

• 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.