Adaptive neural network backstepping control for a class of uncertain fractional-order chaotic systems with unknown backlash-like hysteresis AIP Advances 6, 085121 (2016); 10.1063/1.4960110 Circuit simulation and physical implementation for a memristor-based colpitts oscillator AIP Advances 7, 035118 (2017);
This work presents the modified projective synchronization between two different hyperchaotic systems in the presence of unknown or/and uncertain system parameters. Based on the Lyapunov stability theory, two control laws are proposed to make the states of two hyperchaotic systems asymptotically synchronized. Theoretical analysis and numerical simulations are shown to verify the results.
This paper investigates the modified projective synchronization problem of two hyperchaotic systems in the presence of unknown and/or uncertain system parameters. Based on the Lyapunov stability theory two control laws are proposed to make the states of two identical hyperchaotic systems asymptotically synchronized. Numerical simulations are presented to show the effectiveness of the proposed schemes.
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