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A three-dimensional quantum cellular neural network is proposed by using the quantum cellular automata as neuron cells. The three-dimensional quantum cellular neural network consists of two layers of quantum cellular automata array and possesses the A cloning template, B cloning template, and threshold. The image processing functions such as hole filling and corner detecting were performed by using...
The synchronization of hyperchaos in three-cell coupled quantum cellular neural network is studied; a three-dimensional nonlinear controller is designed to make the controlled hyperchaotic system realize self synchronization and it's proved by means of Lyapunov function that this method can make the system approach to any desired smooth orbit at an exponent rate. A multichannel secure communication...
Based on the tracking control of chaotic system, the synchronization of hyperchaos in three-cell coupled quantum cellular neural network is studied; a secure communication system based on the hyperchaotic synchronization of the quantum cellular neural network is presented; its performance in the presence of channel noise is analyzed. Numerical simulations are given to illustrate the effectiveness...
A nonlinear feedback controller is designed to make the first two state of a chaotic system called Josephson-circuits-coupled quantum cellular neural network track an arbitrary two-dimensional smooth reference signal. It is proved by means of Lyapunov function that this method can make the system approach to any two desired smooth orbits at an exponent rate. The synchronizations with Duffingpsilas...
With the polarization of quantum-dot cell and quantum phase serving as state variables, both theoretical analysis and simulation are made of the complex chaotic dynamical behavior of a three-cell-coupled Quantum Cellular Neural Network, including equilibrium points, Lyapunov exponents and Poincare maps. As a result, equilibrium points are obtained and found to be symmetric and periodic; three of the...
Tracking control of a hyper-chaotic system called three-cell coupled quantum cellular neural network is studied. A tracking control method is proposed for this hyper-chaotic system and it's proved by means of Lyapunov function that this method can make the system approach to any three desired smooth orbits at an exponent rate. The synchronization with Rossler's chaotic system is also presented. Numerical...
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