Reprint

Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-excited Attractors

Edited by
May 2019
290 pages
  • ISBN978-3-03897-898-5 (Paperback)
  • ISBN978-3-03897-899-2 (PDF)

This is a Reprint of the Special Issue Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-excited Attractors that was published in

Chemistry & Materials Science
Computer Science & Mathematics
Physical Sciences
Summary

In recent years, entropy has been used as a measure of the degree of chaos in dynamical systems. Thus, it is important to study entropy in nonlinear systems. Moreover, there has been increasing interest in the last few years regarding the novel classification of nonlinear dynamical systems including two kinds of attractors: self-excited attractors and hidden attractors.

The localization of self-excited attractors by applying a standard computational procedure is straightforward. In systems with hidden attractors, however, a specific computational procedure must be developed, since equilibrium points do not help in the localization of hidden attractors. Some examples of this kind of system are chaotic dynamical systems with no equilibrium points; with only stable equilibria, curves of equilibria, and surfaces of equilibria; and with non-hyperbolic equilibria. There is evidence that hidden attractors play a vital role in various fields ranging from phase-locked loops, oscillators, describing convective fluid motion, drilling systems, information theory, cryptography, and multilevel DC/DC converters.

This Special Issue is a collection of the latest scientific trends on the advanced topics of dynamics, entropy, fractional order calculus, and applications in complex systems with self-excited attractors and hidden attractors.

Format
  • Paperback
License and Copyright
© 2019 by the authors; CC BY-NC-ND license
Keywords
new chaotic system; multiple attractors; electronic circuit realization; S-Box algorithm; chaotic systems; circuit design; parameter estimation; optimization methods; Gaussian mixture model; chaotic system; empirical mode decomposition; permutation entropy; image encryption; hidden attractors; fixed point; stability; nonlinear transport equation; stochastic (strong) entropy solution; uniqueness; existence; multiscale multivariate entropy; multistability; self-reproducing system; chaos; hidden attractor; self-excited attractor; fractional order; spectral entropy; coexistence; multistability; chaotic flow; hidden attractor; multistable; entropy; core entropy; Thurston’s algorithm; Hubbard tree; external rays; chaos; Lyapunov exponents; multiple-valued; static memory; strange attractors; fractional discrete chaos; entropy; projective synchronization; full state hybrid projective synchronization; generalized synchronization; inverse full state hybrid projective synchronization; inverse generalized synchronization; multichannel supply chain; service game; chaos; entropy; BOPS; Hopf bifurcation; self-excited attractors; multistability; sample entropy; PRNG; Non-equilibrium four-dimensional chaotic system; entropy measure; adaptive approximator-based control; neural network; uncertain dynamics; synchronization; fractional-order; complex-variable chaotic system; unknown complex parameters; chaotic map; fixed point; chaos; approximate entropy; implementation; hidden attractor; hyperchaotic system; multistability; entropy analysis; hidden attractor; complex systems; fractional-order; entropy; chaotic maps; chaos; spatial dynamics; Bogdanov Map; chaos; laser; resonator

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