A new two-layer quantum-dot large-neighborhood cellular nonlinear network (QLN-CNN) using quantum-dot cellular automata

Tsai, Te-Chen; Sun, Min; Lin, Lihwai; Huang, Kuan-Hsun; Cheng, Chiu-Hung; Wu, Chung‐Yu

doi:10.1109/nano.2002.1032264

Proceedings of the 2nd IEEE Conference on Nanotechnology

DOI: 10.1109/nano.2002.1032264

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A new two-layer quantum-dot large-neighborhood cellular nonlinear network (QLN-CNN) using quantum-dot cellular automata

Te-Chen Tsai

Min Sun

Lihwai Lin

et al.

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New Controller Design in QCNN and the Synchronization with Chaotic System

Chen

Niu

et al. 2015

AMM

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Synchronization problem between QCNN (Quantum Cellular Neural Networks) and duffing system was studied in the paper. Not only one new controller with less parameters in QCNN was designed, but it was proved by Lyapunov function that output signal would be convergent to reference signal, and meanwhile, forms of multi-dimension controllers were given. Then the synchronization structure was draw with the corresponding controllers. In the simulation results, the new controller has higher time efficiency, which shows applying the new controller to QCNN is feasible and effective and it can assure the achievement of synchronization. Furthermore, weak periodic signal can be detected in QCNN, which provides one new thought to detection of weak signal.

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New Controller Design in QCNN and the Synchronization with Chaotic System

Chen

Niu

et al. 2015

AMM

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A new two-layer quantum-dot large-neighborhood cellular nonlinear network (QLN-CNN) using quantum-dot cellular automata

Cited by 1 publication

References 4 publications

New Controller Design in QCNN and the Synchronization with Chaotic System

New Controller Design in QCNN and the Synchronization with Chaotic System

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