Last edited by Gashura
Friday, July 31, 2020 | History

2 edition of Aspects of Soft Computing, Intelligent Robotics and Control found in the catalog.

Aspects of Soft Computing, Intelligent Robotics and Control

by JГЎnos Fodor

  • 114 Want to read
  • 16 Currently reading

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

    Subjects:
  • Engineering,
  • Artificial intelligence

  • 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

    The Handbook of Research on Advanced Intelligent Control Engineering and Automation presents the latest research into intelligent control technologies with the goal of advancing knowledge and applications in various domains. This text will serve as a reference book for scientists, engineers, and researchers, as it features many applications of. Intelligent Systems, Robotics & Control Research in modern systems science covers a variety of topics, with an emphasis on the intensive use of mathematics and computers in distributed complex dynamical systems which evolve in an environment containing considerable uncertainty and complexity.

    This book shares important findings on the application of robotics in industry using advanced mechanisms, including software and hardware. It presents a collection of recent trends and research on various advanced computing paradigms such as soft computing, robotics, smart automation, power control, and uncertainty analysis. This book describes important techniques, developments, and applications of computational intelligence in system rs present:an introduction to the fundamentals of neural networks, fuzzy logic, and evolutionary computinga rigorous treatment of intelligent control industrial applications of intelligent control and soft computing, including transportation, petroleum, motor drive.

    10th Anniversary of Applied Sciences: Invited Papers in Computing and Artificial Intelligence Section (Deadline: 31 October ) Intelligent Transportation Systems: Beyond Intelligent Vehicles (Deadline: 31 October ) Modeling, Simulation and Control of Soft Robotics (Deadline: 31 October ) Swarm Robotics (Deadline: 31 October ). Behavioral and Cognitive Modeling of the Human Brain Amit Konar Department of Electronics and Tele-communication Engineering Jadavpur University, Calcutta, India Artificial Intelligence and Soft Computing Boca Raton London New York Washington, D.C. CRC Press.


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Aspects of Soft Computing, Intelligent Robotics and Control by JГЎnos Fodor Download PDF EPUB FB2

A wide area of natural applications of soft computing techniques consists of the control of dynamic systems, including robots.

Loosely speaking, control can be understood as driving a process to attain a desired goal. Intelligent control can be seen as an extension of this concept, to include autonomous human-like interactions of a machine with the environment.

Request PDF | Aspects of Soft Computing, Intelligent Robotics and Control | Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in.

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 Intelligent Robotics and Control book, 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. 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. Aspects of soft computing, intelligent robotics and control.

[J Fodor; Janusz Kacprzyk;] -- Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular.

This volume examines theoretical and practical aspects in soft computing, intelligent robotics and control. The problems discussed are taken from fuzzy systems, neural networks, interactive evolutionary computation, intelligent mobile robotics and more.

Original language: English: Title of host publication: Aspects of Soft Computing, Intelligent Robotics and Control: Editors: J. Fodor, Janusz Kacprzyk: Pages. I have authored two textbooks: one on “Soft Computing” and another on “Fundamentals of Robotics”; co-authored another textbook on “Analytical Engineering Mechanics”, edited a book on “Intelligent and Autonomous Systems”, co-authored reference books on “Modeling and Analysis of Six-legged Robots”; “Modeling and Simulations.

He has published more than papers in international journals and conferences, and coedited the book Fuzzy Logic Techniques for Autonomous Vehicle Navigation (Springer, ).

His research interests encompass artificial intelligence, autonomous robotics, and soft computing. Soft Computing for Intelligent Control and Mobile Robotics. texts All Books All Texts latest This Just In Smithsonian Libraries FEDLINK (US) Genealogy Lincoln Collection. National Emergency Soft Computing for Intelligent Control and Mobile Robotics Item Preview remove-circle.

Soft computing techniques are widely applied in the control of dynamic systems, including mobile robots. The present volume is a collection of 20 chapters written by respectable experts of the fields, addressing various theoretical and practical aspects in soft computing, intelligent robotics and control.Although soft computing theory and techniques were first introduced in s, it has now become a major research and study area in automatic control engineering.

The techniques of soft computing are nowadays being used successfully in many domestic, commercial, and industrial applications.This class of control techniques is composed of neural network control, fuzzy logic control, neurofuzzy control, evolutionary computation, swarm algorithms, self-organizing systems, soft computing, machine learning, and intelligent agents-based control, to name a few.