Fractional-order cellular neural networks adaptive synchronization control circuit design and simulation
ZHANG Xiao-hong
YU Liang-hua
Abstract：On a new fractional order cellular neural networks system, building a driver-response system which the nonlinear in the driver system is known, while in response is not. Use the adaptive synchronization controller and adaptive adjustment law to make the driver-response system to be synchronized. Numerical simulation and dynamic analysis results show that the new system of fractional order cellular neural networks has chaotic characteristics and the correctness of the adaptive synchronization control method. Combining the theory of fractional order circuit designed the synchronous control circuit schematic diagram of the new fractional order cellular neural networks system. In fact, this scheme can realize 4096 kinds of multi-combination circuits. For the sake of brevity, selected the same fractional-order values (namely q1=q2=q3=0.95) for circuit simulation. The simulation results showed that multiple circuit simulation and numerical simulation results had high inosculation. Thus it is proved that the adaptive synchronization control method can be realized in physics and has practical application value in engineering field.
Keywords：synchronization controladaptivefractionalcellular neural networkschaos
Publication Date：2016-06-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：10( 753-762 )