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Advances in Soft Computing, Intelligent Robotics and Control

  • Conference proceedings
  • © 2014

Overview

Editors:
  1. János Fodor

    1. Institute of Applied Mathematics, Óbuda University, Budapest, Hungary

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    You can also search for this editor in PubMed   Google Scholar

  2. Robert Fullér

    1. Department of Applied Mathematics, John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary

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    You can also search for this editor in PubMed   Google Scholar

  • Presents recent research in Soft Computing, Intelligent Robotics and Control
  • The analyzed problems are taken from fuzzy systems, neural networks, intelligent mobile robotics and intelligent control of linear and nonlinear dynamic systems
  • Leading specialists address theoretical and practical aspects in an informative, reader-friendly way

Part of the book series: Topics in Intelligent Engineering and Informatics (TIEI, volume 8)

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Table of contents (20 papers)

  1. Front Matter

    Pages 1-13
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  2. Intelligent Robotics and Control

    1. Front Matter

      Pages 1-1
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    2. Control Algorithms for Plants Operating Under Variable Conditions, Applications

      • Stefan Preitl, Radu-Emil Precup, Zsuzsa Preitl, Alexandra-Iulia Stînean, Mircea-Bogdan Rădac, Claudia-Adina Dragoş
      Pages 3-39

    3. Feedback Linearization of the Differentially Driven Mobile Robot: An Experimental Verification

      • Wojciech Kowalczyk, Krzysztof Kozłowski
      Pages 41-54

    4. Model-Based Disease Treatment: A Control Engineering Approach

      • Levente Kovács
      Pages 55-67

    5. Application of Artificial Intelligence Techniques in Monitoring Drilling Processes

      • Gyula Hermann
      Pages 69-79

    6. Functional Synthesis of a New Class of Micro Electro-Mechanical Systems

      • Nicola Pio Belfiore
      Pages 81-93

    7. Symbiosis of RFPT-Based Adaptivity and the Modified Adaptive Inverse Dynamics Controller

      • József K. Tar, János F. Bitó, Annamária R. Várkonyi-Kóczy, Adrienn Dineva
      Pages 95-106

  3. Soft Computing

    1. Front Matter

      Pages 107-107
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    2. Subjective Weights Based Meta-Learning in Multi-criteria Decision Making

      • Hamido Fujita, Yu-Chien Ko
      Pages 109-125

    3. Modeling of Complex Multidimensional Nonlinear Systems Using Neural System with Deep Architectures

      • Bogdan M. Wilamowski, Janusz Korniak
      Pages 127-143

    4. A Greedy Incremental Algorithm for Universal Approximation with RBF Newtorks

      • Xing Wu, Bogdan M. Wilamowski
      Pages 145-157

    5. A Note on Hamacher-Operators

      • László T. Kóczy
      Pages 159-163

    6. Practical Aspects of Fuzzy Rule Interpolation

      • Szilveszter Kovács
      Pages 165-181

    7. On Generalization of Nguyen’s Theorem: A Short Survey of Recent Developments

      • Robert Fullér
      Pages 183-190

    8. Towards Knowledge Driven Adaptive Product Representations

      • László Horváth
      Pages 191-209

    9. Interrelationship of Fuzzy Decision System Parameters

      • Márta Takács
      Pages 211-218

    10. Swarm-Based Heuristics for an Area Exploration

      • Marek Masár, Ivana Budinská
      Pages 219-238

  4. Applied Mathematics

    1. Front Matter

      Pages 239-239
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    2. A Note on Perturbation Estimates for Invariant Subspaces of Hessenberg Matrices

      • Aurél Galántai
      Pages 241-257
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Keywords

About this book

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.

Editors and Affiliations

  • Institute of Applied Mathematics, Óbuda University, Budapest, Hungary

    János Fodor

  • Department of Applied Mathematics, John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary

    Robert Fullér

Bibliographic Information

  • Book Title: Advances in Soft Computing, Intelligent Robotics and Control

  • Editors: János Fodor, Robert Fullér

  • Series Title: Topics in Intelligent Engineering and Informatics

  • DOI: https://doi.org/10.1007/978-3-319-05945-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-05944-0Published: 09 April 2014

  • Softcover ISBN: 978-3-319-38322-4Published: 03 September 2016

  • eBook ISBN: 978-3-319-05945-7Published: 20 March 2014

  • Series ISSN: 2193-9411

  • Series E-ISSN: 2193-942X

  • Edition Number: 1

  • Number of Pages: XVIII, 321

  • Number of Illustrations: 30 b/w illustrations, 156 illustrations in colour

  • Topics: Computational Intelligence, Control and Systems Theory, Robotics and Automation

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