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A new memductance-based fractional-order chaotic system and its fixed-time synchronisation

2021; Elsevier BV; Volume: 145; Linguagem: Inglês

10.1016/j.chaos.2021.110782

1873-2887

Maitreyee Dutta, Binoy Krishna Roy,

Neural Networks and Applications

Through this manuscript, the intentions of the authors are to present a new memductance-based fractional-order chaotic system. The new chaotic system shows coexisting single to double wings attractors for some typical values of initial conditions. Furthermore, a fixed-time convergence technique is applied for synchronisation between two identical proposed chaotic systems as the master and slave systems. This synchronisation technique is robust against bounded disturbances and parametric uncertainties. Through switching between synchronisation and anti-synchronisation, the performance of the algorithm is shown. The simulation results reveal the satisfactory performance of the algorithm.