Nostradamus 2013: Prediction, Modeling and Analysis of Complex Systems, 1st Edition

  • Published By:
  • ISBN-10: 3319005421
  • ISBN-13: 9783319005423
  • DDC: 003.857
  • Grade Level Range: College Freshman - College Senior
  • 550 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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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.

Table of Contents

Front Cover.
Editorial Board.
Title Page.
Copyright Page.
1: Keynote Speakers.
2: Constructing a Simple Chaotic System with an Arbitrary Number of Equilibrium Points or an Arbitrary Number of Scrolls.
3: Dynamics of Partial Control of Chaotic Systems.
4: Prediction of Hidden Oscillations Existence in Nonlinear Dynamical Systems: Analytics and Simulation.
5: Astroinformatics: Getting New Knowledge from the Astronomical Data Avalanche.
6: Engineering of Mathematical Chaotic Circuits.
7: Chaos, Evolution and Complexity.
8: Utilising the Chaos-Induced Discrete Self Organising Migrating Algorithm to Schedule the Lot-Streaming Flowshop Scheduling Problem with Setup Time.
9: Hidden Periodicity – Chaos Dependance on Numerical Precision.
10: Do Evolutionary Algorithms Indeed Require Random Numbers? Extended Study.
11: New Adaptive Approach for Chaos PSO Algorithm Driven Alternately by Two Different Chaotic Maps – An Initial Study.
12: On the Performance of Enhanced PSO Algorithm with Dissipative Chaotic Map in the Task of High Dimensional Optimization Problems.
13: Utilization of Analytic Programming for Evolutionary Synthesis of the Robust Controller for Set of Chaotic Systems.
14: Chaos Powered Selected Evolutionary Algorithms.
15: Case Study of Evolutionary Process Visualization Using Complex Networks.
16: Stabilization of Chaotic Logistic Equation Using HC12 and Grammatical Evolution.
17: Hypervolume-Driven Analytical Programming for Solar-Powered Irrigation System Optimization.
18: Nature-Inspired Algorithms and Nonlinear Systems.
19: Forecasting of Time Series with Fuzzy Logic.
20: Unknown Input Proportional Integral Observer Design for Chaotic TS Fuzzy Models.
21: Modeling of EEG Signal with Homeostatic Neural Network.
22: Model Identification from Incomplete Data Set Describing State Variable Subset Only – The Problem of Optimizing and Predicting Heuristic Incorporation into Evolutionary System.
23: Supervised and Reinforcement Learning in Neural Network Based Approach to the Battleship Game Strategy.
24: Evolutionary Algorithms for Parameter Estimation of Metabolic Systems.
25: Evolutionary Synthesis of Complex Structures – Pseudo Neural Networks for the Task of Iris Dataset Classification.
26: Speech Emotions Recognition Using 2-D Neural Classifier.
27: Predictive Control of Radio Telescope Using Multi-layer Perceptron Neural Network.
28: Nonlinear and Predictive Control.
29: Modeling and Simulation of a Small Unmanned Aerial Vehicle.
30: Mathematical Models of Controlled Systems.
31: Effect of Weighting Factors in Adaptive LQ Control.
32: Unstable Systems Database: A New Tool for Students, Teachers and Scientists.
33: Nonlinear State Estimation and Predictive Control of pH Neutralization Process.
34: State Observers for Model Predictive Control.
35: Characteristics of the Chen Attractor.
36: Nonlinear Dynamics and Complex Systems.
37: Message Embedded Synchronization for the Generalized Lorenz System and Its use for Chaotic Masking.
38: Using Complex Network Topologies and Self-Organizing Maps for Time Series Prediction.
39: Initial Errors Growth in Chaotic Low-Dimensional Weather Prediction Model.
40: EEE Method: Improved Approach of Compass Dimension Calculation.
41: Chaotic Analysis of the GDP Time Series.
42: Daily Temperature Profile Prediction for the District Heating Application.
43: Adaptive Classifier of Candlestick Formations for Prediction of Trends.
44: Identification of Economic Agglomerations by Means of Accounting Data from ERP Systems of Business Entities.
45: Nonlinear Spatial Analysis of Dynamic Behavior of Rural Regions.
46: Complex System Simulation Parameters Settings Methodology.
47: Simulation Analysis of the Complex Production System with Interoperation Buffer Stores.
48: Usage of Modern Exponential-Smoothing Models in Network Traffic Modelling.
49: On Approaches of Assessment of Tribo Data from Medium Lorry Truck.
50: Various Topics.
51: Energy and Entropy of Fractal Objects: Application to Gravitational Field.
52: Wavelet Based Feature Extraction for Clustering of Be Stars.
53: Upcoming Features of SPLAT-VO in Astroinformatics.
54: Mobile Sensor Data Classification Using GM-SOM*.
55: Tensor Modification of Orthogonal Matching Pursuit Based Classifier in Human Activity Recognition*.
56: Global Motion Estimation Using a New Motion Vector Outlier Rejection Algorithm.
57: Searching for Dependences within the System of Measuring Stations by Using Symbolic Regression★.
58: The Effect of Sub-sampling on Hyperspectral Dimension Reduction.
Author Index.