Entropy in Dynamic Systems

In order to measure and quantify the complex behavior of real-world systems, either novel mathematical approaches or modifications of classical ones are required to precisely predict, monitor, and control complicated chaotic and stochastic processes. Though the term of entropy comes from Greek and e...

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Detaylı Bibliyografya
Asıl Yazarlar: Awrejcewicz, Jan, Tenreiro Machado, J. A.
Materyal Türü: Livro
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI - Multidisciplinary Digital Publishing Institute 2019
Konular:
TA1-2040
T1-995
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
n/a
nonautonomous (autonomous) dynamical system
stabilization
multi-time scale fractional stochastic differential equations
conditional Tsallis entropy
wavelet transform
hyperchaotic system
Chua’s system
permutation entropy
neural network method
Information transfer
self-synchronous stream cipher
colored noise
Benettin method
method of synchronization
topological entropy
geometric nonlinearity
Kantz method
dynamical system
Gaussian white noise
phase-locked loop
wavelets
Rosenstein method
m-dimensional manifold
deterministic chaos
disturbation
Mittag–Leffler function
approximate entropy
bounded chaos
Adomian decomposition
fractional calculus
product MV-algebra
Tsallis entropy
descriptor fractional linear systems
analytical solution
fractional Brownian motion
true chaos
discrete mapping
partition
unbounded chaos
fractional stochastic partial differential equation
noise induced transitions
random number generator
Fourier spectrum
hidden attractors
(asymptotical) focal entropy point
regular pencils
continuous flow
Bernoulli–Euler beam
image encryption
Gauss wavelets
Lyapunov exponents
discrete fractional calculus
Lorenz system
Schur factorization
discrete chaos
Wolf method
Online Erişim:https://directory.doabooks.org/handle/20.500.12854/46557
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