Advances in Soft Computing, Intelligent Robotics and Control

  • János Fodor
  • Robert Fullér
Part of the Topics in Intelligent Engineering and Informatics book series (TIEI, volume 8)

Table of contents

  1. Front Matter
    Pages 1-13
  2. Intelligent Robotics and Control

    1. Front Matter
      Pages 1-1
    2. Stefan Preitl, Radu-Emil Precup, Zsuzsa Preitl, Alexandra-Iulia Stînean, Mircea-Bogdan Rădac, Claudia-Adina Dragoş
      Pages 3-39
    3. József K. Tar, János F. Bitó, Annamária R. Várkonyi-Kóczy, Adrienn Dineva
      Pages 95-106
  3. Soft Computing

    1. Front Matter
      Pages 107-107
    2. László T. Kóczy
      Pages 159-163
    3. Szilveszter Kovács
      Pages 165-181
    4. Marek Masár, Ivana Budinská
      Pages 219-238
  4. Applied Mathematics

    1. Front Matter
      Pages 239-239

About these proceedings

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 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.

The first part of the book concerns with issues of intelligent robotics, including robust xed point transformation design, experimental verification of the input-output feedback linearization of differentially driven mobile robot and applying kinematic synthesis to micro electro-mechanical systems design.

The second part of the book is devoted to fundamental aspects of soft computing. This includes practical aspects of fuzzy rule interpolation, subjective weights based meta learning in multi criteria decision making, swarm-based heuristics for an area exploration and knowledge driven adaptive product representations.

The last part addresses different problems, issues and methods of applied mathematics. This includes perturbation estimates for invariant subspaces of Hessenberg matrices, uncertainty and nonlinearity modelling by probabilistic metric spaces and comparison and visualization of the DNA of six primates.

Keywords

Applied Mathematics Fuzzy Reasoning Intelligent Control Intelligent Robotics Soft Computing

Editors and affiliations

  • János Fodor
    • 1
  • Robert Fullér
    • 2
  1. 1.Institute of Applied MathematicsÓbuda UniversityBudapestHungary
  2. 2.Department of Applied Mathematics, John von Neumann Faculty of InformaticsÓbuda UniversityBudapestHungary

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05945-7
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-05944-0
  • Online ISBN 978-3-319-05945-7
  • Series Print ISSN 2193-9411
  • Series Online ISSN 2193-942X
  • About this book