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Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Ivan Zelinka

    1. Faculty of Electrical Eng. & Comp. Sci, Department of Computer Science, VŠB-TUO, Ostrava-Poruba, Czech Republic

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  2. Guanrong Chen

    1. , Department of Electronic Engineering, City University of Hong Kong, Kowloon, China, People's Republic

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  3. Otto E. Rössler

    1. , Institute of Physical, University of Tuebingen, Tuebingen, Germany

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  4. Vaclav Snasel

    1. Faculty of Electrical Eng. & Comp. Sci., Department of Computer Science, VŠB-TUO, Ostrava-Poruba, Czech Republic

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  5. Ajith Abraham

    1. (MIR Labs), Scientific Network for Innovation, Machine Intelligence Research Labs, Auburn, USA

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  • Recent Research on modern methods of prediction, modeling and analysis of complex systems
  • Proceedings of the 2013 International Nostradamus conference on modern methods of prediction, modeling and analysis of nonlinear systems held at June 3- 5 2013 in Ostrava, Czech Republic
  • Focused on prediction of the behavior of the dynamical systems by means of classical as well as modern methods from mathematics and soft-computing

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 210)

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Table of contents (52 papers)

  1. Front Matter

    Pages 1-12
    Download chapter PDF

  2. Constructing a Simple Chaotic System with an Arbitrary Number of Equilibrium Points or an Arbitrary Number of Scrolls

    • Guanrong Chen
    Pages 1-1

  3. Dynamics of Partial Control of Chaotic Systems

    • Miguel A. F. Sanjuan
    Pages 3-4

  4. Prediction of Hidden Oscillations Existence in Nonlinear Dynamical Systems: Analytics and Simulation

    • Gennady A. Leonov, Nikolay V. Kuznetsov
    Pages 5-13

  5. Astroinformatics: Getting New Knowledge from the Astronomical Data Avalanche

    • Petr Škoda
    Pages 15-15

  6. Engineering of Mathematical Chaotic Circuits

    • René Lozi
    Pages 17-29

  7. Utilising the Chaos-Induced Discrete Self Organising Migrating Algorithm to Schedule the Lot-Streaming Flowshop Scheduling Problem with Setup Time

    • Donald Davendra, Roman Senkerik, Ivan Zelinka, Michal Pluhacek, Magdalena Bialic-Davendra
    Pages 31-45

  8. Hidden Periodicity – Chaos Dependance on Numerical Precision

    • Ivan Zelinka, Mohammed Chadli, Donald Davendra, Roman Senkerik, Michal Pluhacek, Jouni Lampinen
    Pages 47-59

  9. Do Evolutionary Algorithms Indeed Require Random Numbers? Extended Study

    • Ivan Zelinka, Mohammed Chadli, Donald Davendra, Roman Senkerik, Michal Pluhacek, Jouni Lampinen
    Pages 61-75

  10. New Adaptive Approach for Chaos PSO Algorithm Driven Alternately by Two Different Chaotic Maps – An Initial Study

    • Michal Pluhacek, Roman Senkerik, Ivan Zelinka, Donald Davendra
    Pages 77-87

  11. On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems

    • Michal Pluhacek, Roman Senkerik, Ivan Zelinka, Donald Davendra
    Pages 89-99

  12. Utilization of Analytic Programming for Evolutionary Synthesis of the Robust Controller for Set of Chaotic Systems

    • Roman Senkerik, Zuzana Kominkova Oplatkova, Ivan Zelinka, Michal Pluhacek
    Pages 101-110

  13. Chaos Powered Selected Evolutionary Algorithms

    • Lenka Skanderova, Ivan Zelinka, Petr Šaloun
    Pages 111-124

  14. Case Study of Evolutionary Process Visualization Using Complex Networks

    • Patrik Dubec, Jan Plucar, Lukáš Rapant
    Pages 125-135

  15. Stabilization of Chaotic Logistic Equation Using HC12 and Grammatical Evolution

    • Radomil Matousek, Petr Minar
    Pages 137-146

  16. Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization

    • T. Ganesan, I. Elamvazuthi, Ku Zilati Ku Shaari, P. Vasant
    Pages 147-154

  17. Forecasting of Time Series with Fuzzy Logic

    • Petr Dostál
    Pages 155-161

  18. Unknown Input Proportional Integral Observer Design for Chaotic TS Fuzzy Models

    • T. Youssef, Mohammed Chadli, Ivan Zelinka, M. Zelmat
    Pages 163-174

  19. Modeling of EEG Signal with Homeostatic Neural Network

    • Martin Ruzek
    Pages 175-180

  20. Model Identification from Incomplete Data Set Describing State Variable Subset Only – The Problem of Optimizing and Predicting Heuristic Incorporation into Evolutionary System

    • Tomas Brandejsky
    Pages 181-189
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Keywords

About this book

Prediction of behavior of the dynamical systems, analysis and modeling of its structure is vitally important problem in engineering, economy and science today. Examples of such systems can be seen
in the world around us and of course in almost every scientific discipline including such “exotic” domains like the earth’s atmosphere, turbulent fluids, economies (exchange rate and stock markets),
population growth, physics (control of plasma), information flow in social networks and its dynamics, chemistry and complex networks. To understand such dynamics and to use it in research or industrial
applications, it is important to create its models. For this purpose there is rich spectra of methods, from classical like ARMA models or Box Jenkins method to such modern ones like evolutionary
computation, neural networks, fuzzy logic, fractal geometry, deterministic chaos and more. This proceeding book is a collection of the accepted papers to conference Nostradamus that has been held in Ostrava, Czech Republic. Proceeding also comprises of outstanding keynote speeches by distinguished guest speakers: Guanrong Chen (Hong Kong), Miguel A. F. Sanjuan (Spain), Gennady Leonov and Nikolay Kuznetsov (Russia), Petr Škoda (Czech Republic).
The main aim of the conference is to create periodical possibility for students, academics and researchers to exchange their ideas and novel methods. This conference will establish forum for
presentation and discussion of recent trends in the area of applications of various predictive methods for researchers, students and academics.

Editors and Affiliations

  • Faculty of Electrical Eng. & Comp. Sci, Department of Computer Science, VŠB-TUO, Ostrava-Poruba, Czech Republic

    Ivan Zelinka

  • , Department of Electronic Engineering, City University of Hong Kong, Kowloon, China, People's Republic

    Guanrong Chen

  • , Institute of Physical, University of Tuebingen, Tuebingen, Germany

    Otto E. Rössler

  • Faculty of Electrical Eng. & Comp. Sci., Department of Computer Science, VŠB-TUO, Ostrava-Poruba, Czech Republic

    Vaclav Snasel

  • (MIR Labs), Scientific Network for Innovation, Machine Intelligence Research Labs, Auburn, USA

    Ajith Abraham

Bibliographic Information

  • Book Title: Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems

  • Editors: Ivan Zelinka, Guanrong Chen, Otto E. Rössler, Vaclav Snasel, Ajith Abraham

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-00542-3

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2013

  • Softcover ISBN: 978-3-319-00541-6Published: 03 June 2013

  • eBook ISBN: 978-3-319-00542-3Published: 13 November 2013

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XII, 550

  • Number of Illustrations: 247 b/w illustrations

  • Topics: Computational Intelligence, Complexity, Artificial Intelligence

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