QUANTUM-CNN TO GENERATE NANOSCALE CHAOTIC OSCILLATORS

DOI10.1142/S0218127404009624zbMath1086.37503OpenAlexW2015405558MaRDI QIDQ4669109

Domenico M. Porto, Luigi Fortuna

Publication date: 15 April 2005

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218127404009624

zbMATH Keywords

complex systemsquantum dotscellular nonlinear networks

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Quantum chaos (81Q50) Analytic circuit theory (94C05) Cellular automata (computational aspects) (68Q80) Dynamical aspects of cellular automata (37B15) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45)

Related Items (13)

Semiquantum chaos in two GaAs quantum dots coupled linearly and quadratically by two harmonic potentials in two dimensions ⋮ Pragmatical generalized synchronization of chaotic systems with uncertain parameters by adaptive control ⋮ Synchronization of chaotic system with uncertain variable parameters by linear coupling and pragmatical adaptive tracking ⋮ Symplectic synchronization of different chaotic systems ⋮ Chaos synchronization and chaotization of complex chaotic systems in series form by optimal control ⋮ Hyperchaos of four state autonomous system with three positive Lyapunov exponents ⋮ Adaptive function projective synchronization of two-cell quantum-CNN chaotic oscillators with uncertain parameters ⋮ The generalized synchronization of a quantum-CNN chaotic oscillator with different order systems ⋮ Chaos synchronization and chaos control of quantum-CNN chaotic system by variable structure control and impulse control ⋮ Synchronization of complex chaotic systems in series expansion form ⋮ Function projective synchronization of two-cell quantum-CNN chaotic oscillators by nonlinear adaptive controller ⋮ HYPERCHAOTIC BEHAVIOR IN ARBITRARY-DIMENSIONAL FRACTIONAL-ORDER QUANTUM CELLULAR NEURAL NETWORK MODEL ⋮ Synchronization of chaotic systems with uncertain chaotic parameters by linear coupling and pragmatical adaptive tracking

Cites Work

• Cellular neural networks: theory

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