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25 Remote Warehouse Computers Reference- General

Intelligent Systems, Control and Automation: Science and Eng #25: Intelligent Control of Robotic Systems

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Intelligent Systems, Control and Automation: Science and Eng #25: Intelligent Control of Robotic Systems Cover

 

Synopses & Reviews

Publisher Comments:

This book provides a strong coverage of both the theoretical and application aspects of neural networks, fuzzy logic, genetic algorithms and hybrid intelligent techniques in robotics. Specific emphasis in the research work is given on the development of new efficient learning rules for robotic connectionist training and synthesis of neural learning algorithms for low-level control in the domain of robotic compliance tasks. The book contains several different examples of applications based on neural and hybrid intelligent techniques. Key features of the book: -Provides the theoretical background an a survey of most up-to-date developments in this rapidly growing application area of intelligent control of robotic systems; -Focuses on research in connectionist and hybrid intelligent techniques, directly applicable to control or making use of modern control theory in robotics; -Takes a new approach to the synthesis of learning and classification of control laws for robotic compliance tasks, together with the appropriate application examples. This book will be useful to a wide audience of engineers, ranging from undergraduate and graduate students, new and advanced academic researchers, to the practitioners (mechanical and electrical engineers, computer and systems scientists).

Synopsis:

This book provides a strong coverage of both the theoretical and application aspects of neural networks, fuzzy logic, genetic algorithms and hybrid intelligent techniques in robotics. Specific emphasis in the research work is given on the development of new efficient learning rules for robotic connectionist training and synthesis of neural learning algorithms for low-level control in the domain of robotic compliance tasks. The book contains several different examples of applications based on neural and hybrid intelligent techniques.

Product Details

ISBN:
9789048164264
Author:
Katic, D.
Publisher:
Springer
Author:
Vukobratovic, M.
Location:
Dordrecht
Subject:
Engineering / Electrical
Subject:
Electrical engineering
Subject:
Control, Robotics, Mechatronics
Subject:
Statistical Physics, Dynamical Systems and Complexity
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Mechanical engineering
Subject:
Computers-Reference - General
Subject:
Electricity
Subject:
Engineering
Subject:
Language, literature and biography
Subject:
Computer Engineering
Subject:
Artificial Intelligence
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2003
Series:
Intelligent Systems, Control and Automation: Science and Engineering
Series Volume:
25
Publication Date:
20101207
Binding:
TRADE PAPER
Language:
English
Pages:
315
Dimensions:
240 x 160 mm 1148 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Artificial Intelligence » Robotics
Computers and Internet » Computers Reference » General
Engineering » Mechanical Engineering » General
Health and Self-Help » Health and Medicine » Medical Specialties
Science and Mathematics » Physics » General

Intelligent Systems, Control and Automation: Science and Eng #25: Intelligent Control of Robotic Systems New Trade Paper
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$252.95 In Stock
Product details 315 pages Not Avail - English 9789048164264 Reviews:
"Synopsis" by , This book provides a strong coverage of both the theoretical and application aspects of neural networks, fuzzy logic, genetic algorithms and hybrid intelligent techniques in robotics. Specific emphasis in the research work is given on the development of new efficient learning rules for robotic connectionist training and synthesis of neural learning algorithms for low-level control in the domain of robotic compliance tasks. The book contains several different examples of applications based on neural and hybrid intelligent techniques.
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