Name: High-Dimensional Chaotic and Attractor Systems By Vladimir G. Ivancevic
SKU: 9781402054556
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High-Dimensional Chaotic and Attractor Systems Summary

High-Dimensional Chaotic and Attractor Systems: A Comprehensive Introduction by Vladimir G. Ivancevic

This graduate-level textbook is devoted to understanding, prediction and control of high-dimensional chaotic and attractor systems of real life. The objective is to provide the serious reader with a serious scientific tool that will enable the actual performance of competitive research in high-dimensional chaotic and attractor dynamics. From introductory material on low-dimensional attractors and chaos, the text explores concepts including Poincare's 3-body problem, high-tech Josephson junctions, and more.

High-Dimensional Chaotic and Attractor Systems Reviews

From the reviews:

This is an ambitious book that ... is devoted to the understanding, prediction and control of high-dimensional chaotic and attractor systems in real life. ... Finally, and most usefully, the book has a substantial list of references (over 30 pages of them), meaning that the book can be used as a guide to literature in a diverse range of topics related to high- (and indeed low-) dimensional chaotic and nonlinear systems. (Peter Ashwin, Mathematical Reviews, Issue 2008 h)

1. Introduction to Attractors and Chaos 1.1 Basics of Attractor and Chaotic Dynamics 1.2 Brief History of Chaos Theory in 5 Steps 1.2.1 Henry Poincare: Qualitative Dynamics, Topology and Chaos 1.2.2 Steve Smale: Topological Horseshoe and Chaos of Stretching and Folding 1.2.3 Ed Lorenz: Weather Prediction and Chaos 1.2.4 Mitchell Feigenbaum: Feigenbaum Constant and Universality 1.2.5 Lord Robert May: Population Modelling and Chaos 1.2.6 Michel Henon: A Special 2D Map and Its Strange Attractor 1.3 Some Classical Attractor and Chaotic Systems 1.4 Basics of Continuous Dynamical Analysis 1.4.1 A Motivating Example 1.4.2 Systems of ODEs 1.4.3 Linear Autonomous Dynamics: Attractors & Repellors 1.4.4 Conservative versus Dissipative Dynamics 1.4.5 Basics of Nonlinear Dynamics 1.4.6 Ergodic Systems 1.5 Continuous Chaotic Dynamics 1.5.1 Dynamics and Non-equilibrium Statistical Mechanics 1.5.2 Statistical Mechanics of Nonlinear Oscillator Chains 1.5.3 Geometrical Modelling of Continuous Dynamics 1.5.4 Lagrangian Chaos 1.6 Standard Map and Hamiltonian Chaos 1.7 Chaotic Dynamics of Binary Systems 1.7.1 Examples of Dynamical Maps 1.7.2 Correlation Dimension of an Attractor 1.8 Basic Hamiltonian Model of Biodynamics 2. Smale Horseshoes and Homoclinic Dynamics 2.1 Smale Horseshoe Orbits and Symbolic Dynamics 2.1.1 Horseshoe Trellis 2.1.2 Trellis-Forced Dynamics 2.1.3 Homoclinic Braid Type 2.2 Homoclinic Classes for Generic Vector-Fields 2.2.1 Lyapunov Stability 2.2.2 Homoclinic Classes 2.3 Complex-Valued Henon Maps and Horseshoes 2.3.1 Complex Henon-Like Maps 2.3.2 Complex Horseshoes 2.4 Chaos in Functional Delay Equations 2.4.1 Poincare Maps and Homoclinic Solutions 2.4.2 Starting Value and Targets 2.4.3 Successive Modifications of g 2.4.4 Transversality 2.4.5 Transversally Homoclinic Solutions 3. 3-BodyProblem and Chaos Control 3.1 Mechanical Origin of Chaos 3.1.1 Restricted 3-Body Problem 3.1.2 Scaling and Reduction in the 3-Body Problem 3.1.3 Periodic Solutions of the 3-Body Problem 3.1.4 Bifurcating Periodic Solutions of the 3-Body Problem 3.1.5 Bifurcations in Lagrangian Equilibria 3.1.6 Continuation of KAM-Tori 3.1.7 Parametric Resonance and Chaos in Cosmology 3.2 Elements of Chaos Control 3.2.1 Feedback and Non-Feedback Algorithms for Chaos Control 3.2.2 Exploiting Critical Sensitivity 3.2.3 Lyapunov Exponents and KY-Dimension 3.2.4 Kolmogorov-Sinai Entropy 3.2.5 Classical Chaos Control by Ott, Grebogi and Yorke 3.2.6 Floquet Stability Analysis and OGY Control 3.2.7 Blind Chaos Control 3.2.8 Jerk Functions of Simple Chaotic Flows 3.2.9 Example: Chaos Control in Molecular Dynamics 4. Phase Transitions and Synergetics 4.1 Phase Transitions, Partition Function and Noise 4.1.1 Equilibrium Phase Transitions 4.1.2 Classification of Phase Transitions 4.1.3 Basic Properties of Phase Transitions 4.1.4 Landau's Theory of Phase Transitions 4.1.5 Partition Function 4.1.6 Noise-Induced Non-equilibrium Phase Transitions 4.2 Elements of Haken's Synergetics 4.2.1 Phase Transitions 4.2.2 Mezoscopic Derivation of Order Parameters 4.2.3 Example: Synergetic Control of Biodynamics 4.2.4 Example: Chaotic Psychodynamics of Perception 4.2.5 Kick Dynamics and Dissipation-Fluctuation Theorem 4.3 Synergetics of Recurrent and Attractor Neural Networks 4.3.1 Stochastic Dynamics of Neuronal Firing States 4.3.2 Synaptic Symmetry and Lyapunov Functions 4.3.3 Detailed Balance and Equilibrium Statistical Mechanics 4.3.4 Simple Recurrent Networks with Binary Neurons 4.3.5 Simple Recurrent Networks of Coupled Oscillators 4.3.6 Attractor Neural Networks with Binary Neurons 4.3.7 Attractor Neural Networks with Continuous Neurons 4.3.8

Additional information

Sku

NPB9781402054556

ISBN 13

9781402054556

ISBN 10

1402054556

Title

High-Dimensional Chaotic and Attractor Systems: A Comprehensive Introduction by Vladimir G. Ivancevic

Author

Vladimir G. Ivancevic

Series

Intelligent Systems, Control and Automation: Science and Engineering

Condition

New

Binding type

Hardback

Publisher

Springer-Verlag New York Inc.

Year published

2006-12-05

Number of pages

697

Prizes

N/A

Cover note

Book picture is for illustrative purposes only, actual binding, cover or edition may vary.

Note

This is a new book - be the first to read this copy. With untouched pages and a perfect binding, your brand new copy is ready to be opened for the first time

High-Dimensional Chaotic and Attractor Systems Vladimir G. Ivancevic

High-Dimensional Chaotic and Attractor Systems by Vladimir G. Ivancevic

Summary

High-Dimensional Chaotic and Attractor Systems Summary

High-Dimensional Chaotic and Attractor Systems: A Comprehensive Introduction by Vladimir G. Ivancevic

High-Dimensional Chaotic and Attractor Systems Reviews

Table of Contents

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Customer Reviews - High-Dimensional Chaotic and Attractor Systems