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Intelligent Optimal Adaptive Control for Mechatronic Systems [Hardcover]

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  • Category: Books (Computers)
  • Author:  Szuster, Marcin, Hendzel, Zenon
  • Author:  Szuster, Marcin, Hendzel, Zenon
  • ISBN-10:  3319688243
  • ISBN-10:  3319688243
  • ISBN-13:  9783319688244
  • ISBN-13:  9783319688244
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Apr-2018
  • Pub Date:  01-Apr-2018
  • SKU:  3319688243-11-SPRI
  • SKU:  3319688243-11-SPRI
  • Item ID: 100807116
  • List Price: $199.99
  • Seller: ShopSpell
  • Ships in: 5 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 07 to Jul 09
  • Notes: Brand New Book. Order Now.
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.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 verication of control algorithms.-?Summary

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.

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


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


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