Cover of: Aspects of Soft Computing, Intelligent Robotics and Control | JГЎnos Fodor Read Online
Share

Aspects of Soft Computing, Intelligent Robotics and Control by JГЎnos Fodor

  • 263 Want to read
  • ·
  • 90 Currently reading

Published by Springer-Verlag Berlin Heidelberg in Berlin, Heidelberg .
Written in English

Subjects:

  • Engineering,
  • Artificial intelligence

Book details:

Edition Notes

Statementedited by János Fodor, Janusz Kacprzyk
SeriesStudies in Computational Intelligence -- 241
ContributionsKacprzyk, Janusz, SpringerLink (Online service)
The Physical Object
Format[electronic resource] /
ID Numbers
Open LibraryOL27018490M
ISBN 109783642036323, 9783642036330

Download Aspects of Soft Computing, Intelligent Robotics and Control

PDF EPUB FB2 MOBI RTF

Introduction. Soft computing, intelligent robotics and control are in the core interest of contemporary engineering. Essential characteristics of soft computing methods are the ability to handle vague information, to apply human-like reasoning, their learning capability, and ease of application. Soft computing techniques are widely applied in the control of dynamic systems, including mobile robots. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control : $ The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control as both a textbook and a reference, Intelligent Control Systems explores recent. This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to.

Robotics & Intelligent Systems (ARIS) Laboratory at the University of Guelph in Canada. His research interests include intelligent systems, robotics, sensors and multi-sensor fusion, wireless sensor networks, control systems, soft computing, and computational neuroscience. Prof. Yang serves as an Associate Editor of IEEE. J. Fodor and R. Full´er (eds.), Advances in Soft Computing, 55 Intelligent Robotics and Control, Topics in Intelligent Engineering and Informatics 8, Advances in Soft Computing, Intelligent Robotics and Control. He has published 30 research books and over technical papers. He is editor of the Journal of Intelligent and Robotic Systems, editor of the Kluwer MBSE book series, and associate editor of 15 journals. His research interests include intelligent systems, control, robotics and CIM. These three capabilities are combined in a complementary and synergetic book presents a cohesive set of contributions dealing with important issues and applications of soft computing in systems and control technology. The contributions include state-of-the-art material, mathematical developments, fresh results, and how-to-do by: 9.

springer, Soft computing, intelligent robotics and control are in the core interest of contemporary engineering. Essential characteristics of soft computing methods are the ability to handle vague information, to apply human-like reasoning, their learning capability and ease of application. springer, This book describes in a detailed fashion the application of hybrid intelligent systems using soft computing techniques for intelligent control and mobile robotics. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. In this Review paper we discussed, how soft computing to the field of behavior based robotics. It discusses the role of fuzzy, neuro-fuzzy and genetic algorithm rule-based systems for behavior architectures and adaptation. It reviews a number of applications of soft computing techniques to autonomous robot navigation and control. Studies in Computational Intelligence,Volume Editor-in-Chief Kacprzyk Systems Research Institute PolishAcademyof Sciences ka 6 Warsaw Poland E-mail:ka.