Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Februar 2017
Genre:	Naturwissensch., Medizin, Technik
	Automatic control engineering / Automation / B / Computational Intelligence / Control and Systems Theory / Control engineering / Control, Robotics, Automation / engineering / Robotics / Robotics and Automation mehr...
ISBN:	9783319533117
EAN-Code:	9783319533117
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#96 - Studies in Systems, Decision and Control
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	395 gr
Seiten:	111
Illustration:	XV, 111 p. 54 illus., 3 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.