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Intelligent Optimal Adaptive Control for Mechatronic Systems: Studies in Systems, Decision and Control, cartea 120

Autor Marcin Szuster, Zenon Hendzel
en Limba Engleză Paperback – 4 iun 2019
The book deals with intelligent control of mobile robots, presenting the state-of-the-art in the field, and introducing new control algorithms developed and tested by the authors. It also discusses the use of artificial intelligent methods like neural networks and neuraldynamic programming, including globalised dual-heuristic dynamic programming, for controlling wheeled robots and robotic manipulators,and compares them to classical control methods.
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Specificații

ISBN-13: 9783319886633
ISBN-10: 3319886630
Pagini: 382
Ilustrații: XI, 382 p. 224 illus., 119 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.55 kg
Ediția:Softcover reprint of the original 1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control

Locul publicării:Cham, Switzerland

Cuprins

Introduction.-  Object of research.- Intelligent control of mechatronics systems.-  Optimal control methods for mechatronic systems.- Learning methods for intelligent systems.- Control of mechatronic systems.- Experimental verification of control algorithms.- Summary

Textul de pe ultima copertă

The book deals with intelligent control of mobile robots, presenting the state-of-the-art in the field, and introducing new control algorithms developed and tested by the authors. It also discusses the use of artificial intelligent methods like neural networks and neuraldynamic programming, including globalised dual-heuristic dynamic programming, for controlling wheeled robots and robotic manipulators,and compares them to classical control methods.

Caracteristici

Reports on the authors’ research on reinforcement learning and approximate dynamic programming for robot control Compares intelligent methods with classical control methods Includes an experimental verification of the discussed algorithms Includes supplementary material: sn.pub/extras