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|a 9783038978992
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|a 9783038978985
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|a books978-3-03897-899-2
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|a Kengne, Jacques
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|a Nonlinear Dynamics and Entropy of Complex Systems with Hidden and Self-excited Attractors
|h Elektronische Ressource
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260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2019
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300 |
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|a 1 electronic resource (290 p.)
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|a spectral entropy
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|a chaotic maps
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|a existence
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|a entropy measure
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|a multichannel supply chain
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|a BOPS
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|a generalized synchronization
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|a empirical mode decomposition
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|a hidden attractors
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|a approximate entropy
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|a chaotic systems
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|a resonator
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|a fixed point
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|a chaotic map
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|a entropy analysis
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|a History of engineering and technology / bicssc
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|a multiple attractors
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|a sample entropy
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|a coexistence
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|a new chaotic system
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|a electronic circuit realization
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|a multiple-valued
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|a self-reproducing system
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|a fractional order
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|a chaotic flow
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|a hidden attractor
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|a image encryption
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|a fractional discrete chaos
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|a uniqueness
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|a adaptive approximator-based control
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|a service game
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|a chaos
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|a parameter estimation
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|a complex-variable chaotic system
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|a spatial dynamics
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|a multiscale multivariate entropy
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|a strange attractors
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|a Hopf bifurcation
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|a inverse generalized synchronization
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|a nonlinear transport equation
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|a fractional-order
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|a external rays
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|a static memory
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|a stability
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|a projective synchronization
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|a Thurston's algorithm
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|a circuit design
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|a PRNG
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|a S-Box algorithm
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|a core entropy
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|a multistable
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|a optimization methods
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|a complex systems
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|a chaotic system
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|a entropy
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|a implementation
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|a laser
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|a Hubbard tree
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|a self-excited attractor
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|a full state hybrid projective synchronization
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|a Gaussian mixture model
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|a permutation entropy
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|a unknown complex parameters
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|a Non-equilibrium four-dimensional chaotic system
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|a synchronization
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|a Bogdanov Map
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|a self-excited attractors
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|a stochastic (strong) entropy solution
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|a inverse full state hybrid projective synchronization
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|a Lyapunov exponents
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|a uncertain dynamics
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|a neural network
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|a hyperchaotic system
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|a multistability
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|a Munoz-Pacheco, Jesus M.
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|a Rajagopal, Karthikeyan
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|a Jafari, Sajad
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|a eng
|2 ISO 639-2
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|b DOAB
|a Directory of Open Access Books
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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|a 10.3390/books978-3-03897-899-2
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|u https://www.mdpi.com/books/pdfview/book/1279
|7 0
|x Verlag
|3 Volltext
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|u https://directory.doabooks.org/handle/20.500.12854/54755
|z DOAB: description of the publication
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|a 900
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|a 380
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|a 600
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|a 620
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|a 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.
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